Triple
T19918487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McNair Asian Elephant Habitat |
E478726
|
entity |
| Predicate | animalSpeciesExhibited |
P22362
|
FINISHED |
| Object | Asian elephant |
—
|
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: Asian elephant | Statement: [McNair Asian Elephant Habitat, animalSpeciesExhibited, Asian elephant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalSpeciesExhibited Context triple: [McNair Asian Elephant Habitat, animalSpeciesExhibited, Asian elephant]
-
A.
animalExhibits
Indicates that an animal displays, shows, or demonstrates a particular behavior, trait, or characteristic.
-
B.
zooSpecialization
Indicates that one entity is a zoo whose primary focus or expertise is specialized in the type, category, or group represented by the other entity.
-
C.
hasExhibitSpecies
chosen
Indicates that an exhibit or display includes or features a particular species.
-
D.
zooType
Indicates the classification or category of a zoo, such as its type or kind.
-
E.
hasAssociatedAnimalExhibit
Indicates that an entity is linked to a specific animal exhibit that is related or relevant to it.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c3d990819089386d9f30323e8c |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.