Triple
T28292719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qianling Mountain Park |
E713470
|
entity |
| Predicate | hasResidentAnimal |
P26583
|
FINISHED |
| Object | macaque monkeys |
—
|
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: macaque monkeys | Statement: [Qianling Mountain Park, hasResidentAnimal, macaque monkeys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentAnimal Context triple: [Qianling Mountain Park, hasResidentAnimal, macaque monkeys]
-
A.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
B.
hasNonHumanResident
chosen
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
-
C.
usesLiveAnimals
Indicates that one entity employs or incorporates live animals in performing an action, service, process, or activity involving another entity.
-
D.
hasAnimalCollection
Indicates that one entity possesses or maintains a collection or group of animals associated with it.
-
E.
isAnimal
Indicates that the subject entity belongs to the category of animals (i.e., is an animal).
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: April 27, 2026, 11:30 p.m.