Triple
T26811664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krishna Mandir |
E672012
|
entity |
| Predicate | hasShikharaStyle |
P167106
|
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: [Krishna Mandir, hasShikharaStyle, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShikharaStyle Context triple: [Krishna Mandir, hasShikharaStyle, yes]
-
A.
hasFlagOnShikhara
Indicates that a flag is present or mounted on the shikhara (the main tower or spire) of a structure.
-
B.
gopuramStyle
Indicates that something is characterized by or constructed in the architectural style associated with a gopuram (a monumental temple gateway tower).
-
C.
hasGhat
Indicates that a place or location possesses or is associated with a ghat (a series of steps or landing area leading to a body of water).
-
D.
hasStupa
Indicates that one entity possesses, contains, or features a stupa as part of its structure, property, or composition.
-
E.
hasChhatri
Indicates that one entity possesses or features a chhatri (a dome-shaped pavilion or canopy structure) in relation to another entity or location.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6653ccf648190b65fb1141928e47e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 27, 2026, 4:29 a.m.