Triple
T25498407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiruthani |
E639040
|
entity |
| Predicate | ArupadaiVeeduNumber |
P158598
|
FINISHED |
| Object | one of six sacred abodes of Murugan |
—
|
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: one of six sacred abodes of Murugan | Statement: [Thiruthani, ArupadaiVeeduNumber, one of six sacred abodes of Murugan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ArupadaiVeeduNumber Context triple: [Thiruthani, ArupadaiVeeduNumber, one of six sacred abodes of Murugan]
-
A.
AayiramKaalMandapamPillarCountApprox
Indicates an approximate count of the pillars in the Aayiram Kaal Mandapam.
-
B.
numberInNayanmars
Indicates that an entity is included among, or counted as one of, the Nayanmars.
-
C.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
D.
isPancharangaKshetram
Indicates that a temple or sacred site is recognized as one of the Pancharanga Kshetrams, the five traditional holy shrines dedicated to Lord Ranganatha (Vishnu) along the Kaveri river.
-
E.
hasNumberOfTithis
Indicates the relationship that specifies how many tithis (lunar days) are associated with a given entity or period.
- F. None of above. chosen
Provenance (4 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7ac2b348190af2178eed0f0f18b |
completed | May 2, 2026, 1:10 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:41 p.m.