Triple
T26563213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharwad railway station |
E666305
|
entity |
| Predicate | twinCityContext |
P45807
|
FINISHED |
| Object | Hubballi-Dharwad |
—
|
NE NERFINISHED |
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: Hubballi-Dharwad | Statement: [Dharwad railway station, twinCityContext, Hubballi-Dharwad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twinCityContext Context triple: [Dharwad railway station, twinCityContext, Hubballi-Dharwad]
-
A.
twinCity
Indicates that two cities are officially recognized as twin (or sister) cities, typically signifying a formal partnership for cultural, economic, or social exchange.
-
B.
twinCities
chosen
Indicates a relationship where two cities are officially or culturally paired, often to promote mutual cooperation, exchange, or symbolic linkage.
-
C.
nearbyTwinCity
Indicates that two cities are officially recognized as twin (sister) cities and are located geographically close to each other.
-
D.
hasTwinCities
Indicates that two cities are officially recognized as twin (or sister) cities, typically based on cultural, economic, or historical partnership agreements.
-
E.
hasTwinCityStructure
Indicates that one city has an officially recognized twin-city (sister-city) relationship structure with another city.
- F. None of above.
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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6149bf61c8190867566554f4630a8 |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:53 a.m.