Triple
T7306821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konark Sun Temple |
E167992
|
entity |
| Predicate | numberOfStoneHorses |
P76126
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Konark Sun Temple, numberOfStoneHorses, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStoneHorses Context triple: [Konark Sun Temple, numberOfStoneHorses, 7]
-
A.
numberOfStones
Indicates the quantitative count of stones associated with a given entity or context.
-
B.
hasCavalryHeritage
Indicates that an entity has a historical or traditional connection to cavalry forces or mounted military service.
-
C.
laterNumberOfKnights
Indicates that one entity has a greater (later or higher) number of knights than another entity in a comparative context.
-
D.
numberOfStelae
Indicates the quantity of stelae associated with a given entity or context.
-
E.
hoovesUsedAs
Indicates that an entity’s hooves are being used or function in the role of a specified purpose or object.
- 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_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. |
| PDg | Predicate description generation | batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 |
completed | March 27, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:01 p.m.