Triple
T13867949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramanagara district |
E333376
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Ramanagara |
E1066667
|
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: Ramanagara | Statement: [Ramanagara district, hasCity, Ramanagara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramanagara Context triple: [Ramanagara district, hasCity, Ramanagara]
-
A.
Ramanagara
chosen
Ramanagara is a town in the Indian state of Karnataka, known for its silk industry and rocky hills, and for being a major shooting location for the film "Sholay."
-
B.
Nanjangud
Nanjangud is a historic temple town in the Mysore district of Karnataka, India, known for its ancient Srikanteshwara Temple and rich cultural heritage.
-
C.
Battakundi
Battakundi is a small scenic village and tourist stopover located in Pakistan’s mountainous Kaghan Valley.
-
D.
Kundapura
Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
-
E.
Channarayapatna
Channarayapatna is a town in Karnataka, India, known as a local commercial hub and gateway to the Jain pilgrimage center of Shravanabelagola.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c530148190b11704300bbd5f9b |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70e48788190997562e045f3b014 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:14 p.m.