Triple
T13228710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishanganj |
E314951
|
entity |
| Predicate | hasRegionalLanguage |
P2982
|
FINISHED |
| Object | Surjapuri |
E953233
|
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: Surjapuri | Statement: [Kishanganj, hasRegionalLanguage, Surjapuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surjapuri Context triple: [Kishanganj, hasRegionalLanguage, Surjapuri]
-
A.
Surjapuri
chosen
Surjapuri is an Indo-Aryan language spoken primarily in parts of eastern India, especially in Bihar and neighboring regions, with its own distinct phonological and lexical features.
-
B.
Govindpuri
Govindpuri is a densely populated residential neighborhood in South Delhi, India, known for its urban markets, metro connectivity, and proximity to major commercial and educational hubs.
-
C.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
D.
Kamalpur
Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
-
E.
Bhatkuli
Bhatkuli is a small town in the Amravati district of Maharashtra, India, known primarily as a local administrative and market center for surrounding rural areas.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7edb40819095dfa45d3c61a0e3 |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:21 p.m.