Triple
T4664439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock Shelters of Bhimbetka |
E102810
|
entity |
| Predicate | numberOfRockShelters |
P58294
|
FINISHED |
| Object | more than 700 |
—
|
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: more than 700 | Statement: [Rock Shelters of Bhimbetka, numberOfRockShelters, more than 700]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRockShelters Context triple: [Rock Shelters of Bhimbetka, numberOfRockShelters, more than 700]
-
A.
numberOfRockArtSites
Indicates the count of rock art sites associated with a given subject or context.
-
B.
numberOfCliffDwellings
Indicates the quantity of cliff dwellings associated with a given subject.
-
C.
caveType
Indicates the specific classification or kind of cave associated with an entity.
-
D.
hasRockCarvingsFrom
Indicates that something contains or features rock carvings that originate from a specified source, place, or period.
-
E.
numberOfArchaeologicalSites
Indicates the total count of archaeological sites associated with a given entity or context.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633aeba88190a8329ed022d685b6 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:15 p.m.