ReadCoor
E661994
ReadCoor is a biotechnology company specializing in advanced spatial genomics and in situ sequencing technologies for high-resolution mapping of biological tissues.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ReadCoor canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7392990 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ReadCoor Context triple: [George Church, coFounded, ReadCoor]
-
A.
Read
Read is a village in Lancashire, England, situated near the River Calder and known for its residential community and local amenities.
-
B.
Read
Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
-
C.
Lectoure
Lectoure is a historic town in southwestern France, in the Gers department of the Occitanie region, known for its medieval architecture and hilltop setting.
-
D.
Square Reader
Square Reader is a small mobile card reader that lets businesses accept credit and debit card payments through a smartphone or tablet.
-
E.
Reading Division
Reading Division is a regional division of the United States District Court for the Eastern District of Pennsylvania that handles federal cases arising from the Reading, Pennsylvania area and surrounding counties.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ReadCoor Target entity description: ReadCoor is a biotechnology company specializing in advanced spatial genomics and in situ sequencing technologies for high-resolution mapping of biological tissues.
-
A.
Read
Read is a village in Lancashire, England, situated near the River Calder and known for its residential community and local amenities.
-
B.
Read
Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
-
C.
Lectoure
Lectoure is a historic town in southwestern France, in the Gers department of the Occitanie region, known for its medieval architecture and hilltop setting.
-
D.
Square Reader
Square Reader is a small mobile card reader that lets businesses accept credit and debit card payments through a smartphone or tablet.
-
E.
Reading Division
Reading Division is a regional division of the United States District Court for the Eastern District of Pennsylvania that handles federal cases arising from the Reading, Pennsylvania area and surrounding counties.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf | biotechnology company ⓘ |
| applicationArea |
biomedical research
ⓘ
molecular profiling of tissues ⓘ tissue imaging ⓘ |
| enables |
preservation of spatial context of biomolecules in tissues
ⓘ
simultaneous imaging and sequencing of biomolecules in situ ⓘ |
| field |
genomics
ⓘ
spatial biology ⓘ |
| focusesOn | high-resolution mapping of biological tissues ⓘ |
| goal |
to improve understanding of tissue organization and function
ⓘ
to provide high-resolution spatial genomics data ⓘ |
| industry | biotechnology ⓘ |
| methodology |
in situ sequencing of nucleic acids
ⓘ
spatially resolved molecular imaging ⓘ |
| offers | spatially resolved transcriptomics solutions ⓘ |
| researchArea |
single-cell analysis in tissue context
ⓘ
systems biology of tissues ⓘ |
| specializesIn |
in situ sequencing technologies
ⓘ
spatial genomics ⓘ |
| targetCustomers |
academic research institutions
ⓘ
biotechnology companies ⓘ pharmaceutical companies ⓘ |
| technologyType |
in situ sequencing platform
ⓘ
spatial genomics platform ⓘ |
| useCase |
high-resolution tissue mapping
ⓘ
mapping gene expression in intact tissues ⓘ spatial analysis of RNA in cells ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: ReadCoor Description of subject: ReadCoor is a biotechnology company specializing in advanced spatial genomics and in situ sequencing technologies for high-resolution mapping of biological tissues.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.