Triple
T14452578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagara |
E358371
|
entity |
| Predicate | hasSubtype |
P1244
|
FINISHED |
| Object | Shekhari |
E644971
|
NE 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: Shekhari | Statement: [Nagara, hasSubtype, Shekhari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shekhari Context triple: [Nagara, hasSubtype, Shekhari]
-
A.
Shekhani
Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
-
B.
Dharni
Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
-
C.
Behari
Behari is a fictional character, likely from South Asian literature or drama, connected to the character Ashalata in a significant narrative relationship.
-
D.
Bhairavi
Bhairavi is a fierce and transformative Hindu goddess associated with destruction, time, and spiritual awakening, revered as one of the ten Mahavidyas in Shakta tradition.
-
E.
Nagara Shekhari
chosen
Nagara Shekhari is a distinctive sub-style of North Indian Hindu temple architecture characterized by its clustered, vertically rising spires and richly ornamented tower forms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de916244948190bb09d1bfc485ba50 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5be12da481909b11290965ec48da |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:19 a.m.