Triple
T19769228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verul Caves |
E474837
|
entity |
| Predicate | buddhistCavesRange |
P59697
|
FINISHED |
| Object | Caves 1–12 |
—
|
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: Caves 1–12 | Statement: [Verul Caves, buddhistCavesRange, Caves 1–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buddhistCavesRange Context triple: [Verul Caves, buddhistCavesRange, Caves 1–12]
-
A.
numberOfBuddhistCaves
chosen
Indicates the quantity of caves associated with Buddhism that are related to a given entity.
-
B.
numberOfJainCaves
Indicates the quantity of caves associated with Jainism that are present at or within a given entity or site.
-
C.
numberOfHinduCaves
Indicates the quantity of caves that are identified or classified as Hindu caves in relation to a given subject.
-
D.
HinduCavesRange
Indicates a spatial extent or area within which Hindu caves are located or distributed.
-
E.
associatedCaveNumbersAtAjanta
Indicates a relationship linking something at Ajanta to the specific cave number or numbers with which it is associated.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65359bb9881908f48282b63a83f2f |
completed | April 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.