Triple
T13294382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nawada |
E316641
|
entity |
| Predicate | hasPoliceJurisdiction |
P808
|
FINISHED |
| Object | Nawada Police District |
E661701
|
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: Nawada Police District | Statement: [Nawada, hasPoliceJurisdiction, Nawada Police District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nawada Police District Context triple: [Nawada, hasPoliceJurisdiction, Nawada Police District]
-
A.
Rodat District
Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
-
B.
Nawada district
chosen
Nawada district is an administrative district in the Indian state of Bihar, known for its location in the historically significant Magadh region.
-
C.
Nangang District
Nangang District is a central urban district of Harbin, China, known as a major administrative, commercial, and educational hub of the city.
-
D.
Nangang District
Nangang District is an eastern district of Taipei, Taiwan, known for its technology parks, transportation hubs, and role as a growing center for business and innovation.
-
E.
Nari District
Nari District is an administrative district in eastern Afghanistan, located within Kunar Province and known for its mountainous terrain near the Pakistan border.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99079c8508190b6208db9affcbc0e |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d8ee2081908428339216c43b47 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.