Triple
T18255315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSRN |
E437207
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
ChemRN
ChemRN is a subject-specific research network within SSRN that focuses on the dissemination and sharing of scholarly work in chemistry and related fields.
|
E1314130
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ChemRN | Statement: [SSRN, hasPart, ChemRN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ChemRN Context triple: [SSRN, hasPart, ChemRN]
-
A.
CHM
CHM is the National Rail station code for Chelmsford railway station in Essex, England.
-
B.
PaperChem
PaperChem is a specialized database focused on chemical and materials science information related to paper and pulp research, accessible through the Engineering Village platform.
-
C.
CAS Common Chemistry
CAS Common Chemistry is a free online resource from the Chemical Abstracts Service that provides curated chemical information, including identifiers and basic data for commonly encountered substances.
-
D.
PCHEM
PCHEM is the stock ticker symbol for Petronas Chemicals Group Berhad, a major Malaysian integrated chemicals producer and subsidiary of the state-owned energy company Petronas.
-
E.
Chimica
Chimica is a specialized scientific database focused on chemistry literature and research.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ChemRN Triple: [SSRN, hasPart, ChemRN]
Generated description
ChemRN is a subject-specific research network within SSRN that focuses on the dissemination and sharing of scholarly work in chemistry and related fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ChemRN Target entity description: ChemRN is a subject-specific research network within SSRN that focuses on the dissemination and sharing of scholarly work in chemistry and related fields.
-
A.
CHM
CHM is the National Rail station code for Chelmsford railway station in Essex, England.
-
B.
PaperChem
PaperChem is a specialized database focused on chemical and materials science information related to paper and pulp research, accessible through the Engineering Village platform.
-
C.
CAS Common Chemistry
CAS Common Chemistry is a free online resource from the Chemical Abstracts Service that provides curated chemical information, including identifiers and basic data for commonly encountered substances.
-
D.
PCHEM
PCHEM is the stock ticker symbol for Petronas Chemicals Group Berhad, a major Malaysian integrated chemicals producer and subsidiary of the state-owned energy company Petronas.
-
E.
Chimica
Chimica is a specialized scientific database focused on chemistry literature and research.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd84b3a481908bbc1a5e5034d397 |
completed | April 19, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac79bc7881909794d5f563ab0552 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad3be75c819080f57a24747ec55f |
completed | May 12, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03aede6ea481908bb9acdb2ff17e9a |
completed | May 12, 2026, 10:51 p.m. |
Created at: April 10, 2026, 10:34 a.m.