Triple
T25240848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bada Ganpati Temple |
E632461
|
entity |
| Predicate | hasIdolHeight |
P158063
|
FINISHED |
| Object | approximately 25 feet |
—
|
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: approximately 25 feet | Statement: [Bada Ganpati Temple, hasIdolHeight, approximately 25 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIdolHeight Context triple: [Bada Ganpati Temple, hasIdolHeight, approximately 25 feet]
-
A.
hasIdol
Indicates that one entity admires, reveres, or looks up to another as an idol or role model.
-
B.
hasIdolOf
Indicates that one entity possesses or is associated with an idol that represents, depicts, or honors another entity.
-
C.
hasIdolType
Indicates that an entity is associated with or categorized by a particular type or category of idol.
-
D.
hasIdols
Indicates that one entity regards or reveres another entity (or entities) as idols or objects of admiration.
-
E.
hasIdolColor
Indicates that one entity regards another entity as representing or associated with its idol’s characteristic color.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47dfe32488190b3d19a3196b51c68 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 1:07 p.m.