Triple
T2486820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sariska Tiger Reserve |
E55945
|
entity |
| Predicate | designatedAsTigerReserve |
P40335
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [Sariska Tiger Reserve, designatedAsTigerReserve, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designatedAsTigerReserve Context triple: [Sariska Tiger Reserve, designatedAsTigerReserve, 1978]
-
A.
designatedAsWildlifeRefuge
Indicates that an area has been officially assigned the status and protections of a wildlife refuge.
-
B.
hasUNESCOBiosphereReserve
Indicates that an entity includes, contains, or is associated with a designated UNESCO Biosphere Reserve.
-
C.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
D.
designatedAsNationalPark
Indicates that an area has been officially assigned the legal status and protections of a national park by an authorized governing body.
-
E.
hasNationalScenicArea
Indicates that an entity is designated as or associated with a National Scenic Area.
- F. None of above. chosen
Provenance (4 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd209d934819093600889af9104c3 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.