Triple
T7911864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annamalaiyar Temple |
E183717
|
entity |
| Predicate | templeComplexArea |
P72827
|
FINISHED |
| Object | about 10 hectares |
—
|
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 10 hectares | Statement: [Annamalaiyar Temple, templeComplexArea, about 10 hectares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templeComplexArea Context triple: [Annamalaiyar Temple, templeComplexArea, about 10 hectares]
-
A.
templeComplexAreaInAcres
chosen
Indicates the total land area of a temple complex measured in acres.
-
B.
templeDimensions
Indicates the measured size or proportions of a temple, such as its length, width, height, or overall spatial layout.
-
C.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
D.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
E.
majorTempleLocation
Indicates that a major temple associated with an entity is located at a specified place.
- 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.