Triple

T5829718
Position Surface form Disambiguated ID Type / Status
Subject Jessore E129314 entity
Predicate administrativeCenter P1474 FINISHED
Object Jessore city E129314 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: Jessore city | Statement: [Jessore, administrativeCenter, Jessore city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessore city
Context triple: [Jessore, administrativeCenter, Jessore city]
  • A. Jessore chosen
    Jessore is a historic town and district in southwestern Bangladesh, known as one of the oldest administrative regions in the area and an important center for trade and culture.
  • B. Sirajganj
    Sirajganj is a city in north-central Bangladesh known as a key river port and commercial hub on the banks of the Jamuna River.
  • C. Rajshahi
    Rajshahi is a prominent city in western Bangladesh, known as an important cultural, educational, and commercial center of the Bengal region.
  • D. Rangpur
    Rangpur is a city in northern Bangladesh known as a regional administrative, cultural, and commercial center.
  • E. Chittagong
    Chittagong is a major coastal city and Bangladesh’s principal seaport, known for its bustling maritime trade and industrial significance.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346905848190a8f541401da05604 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a18c48588190b4848dff1c277079 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.