Triple
T7911850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annamalaiyar Temple |
E183717
|
entity |
| Predicate | circumambulationPathLength |
P44364
|
FINISHED |
| Object | about 14 kilometres |
—
|
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 14 kilometres | Statement: [Annamalaiyar Temple, circumambulationPathLength, about 14 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circumambulationPathLength Context triple: [Annamalaiyar Temple, circumambulationPathLength, about 14 kilometres]
-
A.
tunnelCircumference
Indicates the circular distance around the inner boundary of a tunnel’s cross-section.
-
B.
circuitLength
chosen
Indicates the total measured length or distance of a circuit or closed path.
-
C.
baseCircumference
Indicates the circumference measurement of the base of an object or geometric figure.
-
D.
circumference
Indicates the total length around the boundary of a closed curve, typically a circle, relating a shape to the measure of its perimeter.
-
E.
approximateCircuitLengthMi
Indicates the approximate total length of a circuit, measured in miles.
- 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.