Triple
T22321410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardhaman district |
E551794
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Nadia district |
—
|
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: Nadia district | Statement: [Bardhaman district, borderedBy, Nadia district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadia district Context triple: [Bardhaman district, borderedBy, Nadia district]
-
A.
Nadia district
chosen
Nadia district is an administrative district in the Indian state of West Bengal, known for its historical towns, cultural heritage, and agricultural economy.
-
B.
Qaisar District
Qaisar District is an administrative district located in Faryab Province in northern Afghanistan.
-
C.
Kitob District
Kitob District is an administrative district in southern Uzbekistan, located within the Qashqadaryo Region and known for its mountainous terrain near the western Pamir-Alay range.
-
D.
Almaza district
Almaza district is a neighborhood in eastern Cairo, Egypt, known for its residential areas, military facilities, and the historic Almaza Airport.
-
E.
Sheema District
Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15764d3a48190af79ce4642b7f563 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.