Triple
T8564738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palani Murugan Temple |
E202775
|
entity |
| Predicate | mainIdolMaterial |
P63956
|
FINISHED |
| Object | navapashanam |
—
|
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: navapashanam | Statement: [Palani Murugan Temple, mainIdolMaterial, navapashanam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainIdolMaterial Context triple: [Palani Murugan Temple, mainIdolMaterial, navapashanam]
-
A.
hasIdolOf
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.
hasIdolType
Indicates that an entity is associated with or categorized by a particular type or category of idol.
-
D.
statueMaterialDetail
chosen
Indicates that a statue is made of, or incorporates, a specific material with detailed characterization (e.g., type, composition, or quality).
-
E.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.