Triple
T4754605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chittoor district |
E105556
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Srikalahasti |
E451628
|
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: Srikalahasti | Statement: [Chittoor district, hasMajorTown, Srikalahasti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srikalahasti Context triple: [Chittoor district, hasMajorTown, Srikalahasti]
-
A.
Srikalahasti
chosen
Srikalahasti is a temple town in Andhra Pradesh, India, renowned for its ancient Shiva temple and strong religious significance.
-
B.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
C.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
D.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
-
E.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e882b08190b100582e6d2e0334 |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a6600e481909c3fb1decf23d7d8 |
completed | March 21, 2026, 6:27 a.m. |
Created at: March 20, 2026, 1:20 p.m.