Triple
T7911840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annamalaiyar Temple |
E183717
|
entity |
| Predicate | RajagopuramHeight |
P74992
|
FINISHED |
| Object | about 66 metres |
—
|
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: about 66 metres | Statement: [Annamalaiyar Temple, RajagopuramHeight, about 66 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RajagopuramHeight Context triple: [Annamalaiyar Temple, RajagopuramHeight, about 66 metres]
-
A.
rajagopuramHeight
chosen
Indicates the height measurement associated with a rajagopuram (temple gateway tower).
-
B.
eastPagodaHeight
Indicates that the relationship concerns the height measurement or height-related attribute of the east pagoda.
-
C.
templeDimensions
Indicates the measured size or proportions of a temple, such as its length, width, height, or overall spatial layout.
-
D.
templeComplexAreaInAcres
Indicates the total land area of a temple complex measured in acres.
-
E.
hasPilgrimageGhatsIn
Indicates that a place possesses or contains pilgrimage ghats located within the specified area or region.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a725b8c8190a530adb3107a95dd |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:04 p.m.