Triple
T12404005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palamau Tiger Reserve |
E296332
|
entity |
| Predicate | oneOfFirst |
P2523
|
FINISHED |
| Object | Project Tiger reserves in India |
—
|
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: Project Tiger reserves in India | Statement: [Palamau Tiger Reserve, oneOfFirst, Project Tiger reserves in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfFirst Context triple: [Palamau Tiger Reserve, oneOfFirst, Project Tiger reserves in India]
-
A.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
B.
oneOfFew
Indicates that the subject is one member of a small, limited set of entities that share a specified property or role.
-
C.
oneOfCasesIn
Indicates that an entity is one specific member of a defined set or collection of possible cases.
-
D.
oneOfFewIn
Indicates that an entity is one among a small, limited number of entities that are in or belong to a specified set, group, or context.
-
E.
isOneOf
chosen
Indicates that an entity belongs to a specified set or list of possible values.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.