Triple
T15690106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoolini Mata Temple |
E380305
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Solan |
E75528
|
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: Solan | Statement: [Shoolini Mata Temple, locatedIn, Solan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solan Context triple: [Shoolini Mata Temple, locatedIn, Solan]
-
A.
Solan
chosen
Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
-
B.
Ballari
Ballari is a major city in the Indian state of Karnataka, known for its rich mineral resources and historical forts.
-
C.
Solitano
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
D.
Tuni
Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
-
E.
Taraval
Taraval is a major east–west street in San Francisco’s Sunset District, known for its residential character and Muni light rail service.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12713588190a888d6f6dd4290e1 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:44 a.m.