Triple
T26866027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kote Anjaneya Temple |
E676470
|
entity |
| Predicate | hasPrimaryIdol |
P59398
|
FINISHED |
| Object | standing Hanuman idol |
—
|
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: standing Hanuman idol | Statement: [Kote Anjaneya Temple, hasPrimaryIdol, standing Hanuman idol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryIdol Context triple: [Kote Anjaneya Temple, hasPrimaryIdol, standing Hanuman idol]
-
A.
hasIdolOf
chosen
Indicates that one entity possesses or is associated with an idol that represents, depicts, or honors another entity.
-
B.
hasIdol
Indicates that one entity admires, reveres, or looks up to another as an idol or role model.
-
C.
hasIdols
Indicates that one entity regards or reveres another entity (or entities) as idols or objects of admiration.
-
D.
hasIdolType
Indicates that an entity is associated with or categorized by a particular type or category of idol.
-
E.
hasIdolColor
Indicates that one entity regards another entity as representing or associated with its idol’s characteristic color.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: April 27, 2026, 5:28 a.m.