Triple
T27426545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kibale National Park |
E690500
|
entity |
| Predicate | numberOfChimpanzees |
P120939
|
FINISHED |
| Object | over 1000 |
—
|
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: over 1000 | Statement: [Kibale National Park, numberOfChimpanzees, over 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChimpanzees Context triple: [Kibale National Park, numberOfChimpanzees, over 1000]
-
A.
hasApproximateNumberOfMonkeys
chosen
Indicates that an entity is associated with an estimated or non-exact count of monkeys.
-
B.
notableChimpanzeeSubjects
Indicates that the subject is a chimpanzee that is notable or significant in some recognized context (e.g., research, history, or public awareness).
-
C.
numberOfAnimals
Indicates the quantity of animals associated with a given entity or context.
-
D.
currentPrimate
Indicates that an entity is presently serving as the primary or leading figure (e.g., head or chief) within a specified organization, group, or context.
-
E.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
- 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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: April 27, 2026, 12:41 p.m.