Triple
T1688826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Himalayan National Park |
E36503
|
entity |
| Predicate | habitatOf |
P14557
|
FINISHED |
| Object | snow leopard |
—
|
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: snow leopard | Statement: [Great Himalayan National Park, habitatOf, snow leopard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: habitatOf Context triple: [Great Himalayan National Park, habitatOf, snow leopard]
-
A.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
B.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
C.
isMajorHabitatFor
chosen
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
D.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
-
E.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.