Triple
T26275419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gombe Chimpanzee War |
E660553
|
entity |
| Predicate | numberOfCommunities |
P64149
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Gombe Chimpanzee War, numberOfCommunities, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCommunities Context triple: [Gombe Chimpanzee War, numberOfCommunities, 2]
-
A.
numberOfCommunitiesRepresented
chosen
Indicates the count of distinct communities that are represented in relation to a given entity or context.
-
B.
hasApproximateNumberOfCommunitiesCommemorated
Indicates that an entity is associated with an estimated or non-exact count of communities that are commemorated in relation to it.
-
C.
hasSmallCommunities
Indicates that an entity possesses or is characterized by the presence of relatively small communities within it.
-
D.
numberOfAutonomousCommunities
Indicates the quantity of autonomous communities associated with or contained within a given entity.
-
E.
hasLocalCommunities
Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 26, 2026, 9:55 p.m.