Triple
T20596429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kailasanathar Temple, Kanchipuram |
E506059
|
entity |
| Predicate | hasPrakaram |
P75233
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kailasanathar Temple, Kanchipuram, hasPrakaram, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrakaram Context triple: [Kailasanathar Temple, Kanchipuram, hasPrakaram, yes]
-
A.
hasNumberOfPrakaras
chosen
Indicates the relationship specifying how many prakaras (enclosure layers or surrounding structures) are associated with a given entity.
-
B.
hasPractices
Indicates that an entity engages in, follows, or carries out specific practices, methods, or customary ways of doing things.
-
C.
hasTechnique
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
D.
hadPractice
Indicates that an entity engaged in or participated in a practice session or rehearsal.
-
E.
isPracticedBy
Indicates that an activity, skill, or discipline is regularly performed or carried out by a particular entity.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1bea1c81908b85f38b2a471285 |
completed | April 20, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:40 a.m.