Triple
T28588685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undavalli Caves |
E723579
|
entity |
| Predicate | hasStoreyFunction |
P24578
|
FINISHED |
| Object | upper floors used as monasteries and cells |
—
|
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: upper floors used as monasteries and cells | Statement: [Undavalli Caves, hasStoreyFunction, upper floors used as monasteries and cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStoreyFunction Context triple: [Undavalli Caves, hasStoreyFunction, upper floors used as monasteries and cells]
-
A.
hasStairFunction
Indicates that one entity serves as a stair-related functional feature (e.g., providing access via stairs) for another entity.
-
B.
hasUpperFloor
chosen
Indicates that one entity possesses or includes an upper floor relative to another level or reference point.
-
C.
hasFloorsAboveGround
Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
-
D.
symbolicStoreysCount
Indicates the number of storeys or levels represented symbolically for a given entity or structure.
-
E.
hasStairway
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 28, 2026, 4:19 a.m.