Triple
T36485350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Lab |
E898919
|
entity |
| Predicate | hasResearchRacks |
P15417
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 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: true | Statement: [US Lab, hasResearchRacks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchRacks Context triple: [US Lab, hasResearchRacks, true]
-
A.
hasScienceRack
Indicates that an entity is equipped with or includes a designated rack used for holding or organizing scientific equipment or materials.
-
B.
hasResearchCollections
Indicates that an entity maintains or possesses organized sets of research materials or collections.
-
C.
hasResearchInfrastructure
chosen
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
D.
hasResearchComponent
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
-
E.
hasResearched
Indicates that an entity has conducted study, investigation, or systematic inquiry into another entity or topic.
- F. None of above.
Provenance (3 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.