Triple
T37576163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sariska Palace |
E934824
|
entity |
| Predicate | nearWildlifeHabitat |
P34896
|
FINISHED |
| Object | tiger habitat |
—
|
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: tiger habitat | Statement: [Sariska Palace, nearWildlifeHabitat, tiger habitat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearWildlifeHabitat Context triple: [Sariska Palace, nearWildlifeHabitat, tiger habitat]
-
A.
hasWildlifeHabitats
Indicates that an entity contains or supports natural environments where wildlife species live, feed, or reproduce.
-
B.
hasNearbyWildlifeRefuge
Indicates that something is located close to or in the vicinity of a designated wildlife refuge.
-
C.
hasNearbyWildlife
chosen
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
D.
onlyNaturalHabitatOf
Indicates that a given location is the sole natural habitat where a particular species or organism occurs in the wild.
-
E.
hasWildlifeCharacteristic
Indicates that an entity possesses a particular trait, feature, or quality related to wildlife.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.