Triple
T38027201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arashiyama Monkey Park Iwatayama |
E948809
|
entity |
| Predicate | primaryAnimalSpecies |
P179735
|
FINISHED |
| Object | Japanese macaque |
—
|
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: Japanese macaque | Statement: [Arashiyama Monkey Park Iwatayama, primaryAnimalSpecies, Japanese macaque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAnimalSpecies Context triple: [Arashiyama Monkey Park Iwatayama, primaryAnimalSpecies, Japanese macaque]
-
A.
primaryAISpecies
Indicates that one species is the main or dominant species associated with a particular AI system or AI-related context.
-
B.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
C.
sourceAnimal
Indicates that one entity is the animal from which another entity (such as a product, material, or sample) is derived or obtained.
-
D.
mainAnimalGroup
chosen
Indicates the primary or most representative animal group associated with an entity or context.
-
E.
speciesType
Indicates the specific biological species category to which an entity belongs.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.