Triple
T7379604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasakela chimpanzee community |
E170212
|
entity |
| Predicate | notableResearchSiteFor |
P21545
|
FINISHED |
| Object | tool use in chimpanzees |
—
|
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: tool use in chimpanzees | Statement: [Kasakela chimpanzee community, notableResearchSiteFor, tool use in chimpanzees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableResearchSiteFor Context triple: [Kasakela chimpanzee community, notableResearchSiteFor, tool use in chimpanzees]
-
A.
researchSite
chosen
Indicates that a location serves as a site where research or investigative studies are conducted or based.
-
B.
notableSite
Indicates that a site holds particular significance, prominence, or recognition in some context.
-
C.
notableArchaeologicalSite
Indicates that a place is recognized as an archaeologically significant site, typically due to important historical remains, artifacts, or research findings.
-
D.
notableInstitution
Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
-
E.
notableScientist
Indicates that the subject is a scientist who is widely recognized for significant contributions or impact in their field.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c61484819087874d4e7f9fd791 |
completed | March 27, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:08 p.m.