Triple
T25784172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiruchendur Murugan Temple |
E649373
|
entity |
| Predicate | mainGopuramHeight |
P74992
|
FINISHED |
| Object | about 137 feet |
—
|
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 137 feet | Statement: [Thiruchendur Murugan Temple, mainGopuramHeight, about 137 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainGopuramHeight Context triple: [Thiruchendur Murugan Temple, mainGopuramHeight, about 137 feet]
-
A.
rajagopuramHeight
chosen
Indicates the height measurement associated with a rajagopuram (temple gateway tower).
-
B.
hasGopuramsCountApprox
Indicates an approximate number of gopurams (temple towers) associated with an entity.
-
C.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
D.
centralStupaHeight
Indicates the height measurement of the central stupa in a given structure or site.
-
E.
eastPagodaHeight
Indicates that the relationship concerns the height measurement or height-related attribute of the east pagoda.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fef935a8819083bc9cefa4a72f8e |
completed | May 2, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 5:53 a.m.