Triple
T35906402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grumeti River crossing |
E1038482
|
entity |
| Predicate | hasApproximateHerdSize |
P36397
|
FINISHED |
| Object | thousands of animals |
—
|
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: thousands of animals | Statement: [Grumeti River crossing, hasApproximateHerdSize, thousands of animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateHerdSize Context triple: [Grumeti River crossing, hasApproximateHerdSize, thousands of animals]
-
A.
hasHerdSize
chosen
Indicates the number of individual animals that belong to a particular herd.
-
B.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
C.
hasApproximateCountInHumans
Indicates that an entity is associated with an estimated or approximate numerical count specifically in humans.
-
D.
approximateNumberOfZebra
Indicates that one entity specifies an estimated or approximate count of zebras associated with another entity.
-
E.
hasApproximateNumberOfPeople
Indicates that an entity is associated with an estimated or approximate count of people, rather than an exact number.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:07 p.m.