Triple
T7306820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konark Sun Temple |
E167992
|
entity |
| Predicate | numberOfStoneWheels |
P19380
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Konark Sun Temple, numberOfStoneWheels, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStoneWheels Context triple: [Konark Sun Temple, numberOfStoneWheels, 24]
-
A.
numberOfStoneCircles
Indicates the quantity of stone circles associated with or present in a given entity or context.
-
B.
numberOfRecordedMillsAndWheels
Indicates the total count of mills and wheels that have been recorded or documented for a given subject.
-
C.
numberOfStones
Indicates the quantitative count of stones associated with a given entity or context.
-
D.
numberOfRecordedWaterwheels
Indicates the count of waterwheels that have been documented or recorded for a given entity or context.
-
E.
numberOfWheels
chosen
Indicates the quantity of wheels that an entity possesses or is associated with.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebd7dcf88190b3e66bea327fc63d |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.