Triple

T1424499
Position Surface form Disambiguated ID Type / Status
Subject Palashi E30298 entity
Predicate partOf P40 FINISHED
Object Nadia district E164529 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: Nadia district | Statement: [Palashi, partOf, Nadia district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadia district
Context triple: [Palashi, partOf, 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. Karmouz district
    Karmouz district is a historic area in Alexandria, Egypt, known for encompassing important archaeological sites such as the Catacombs of Kom El Shoqafa.
  • C. Badaro district
    Badaro district is a vibrant residential and commercial neighborhood in Beirut, Lebanon, known for its cafés, nightlife, and proximity to major cultural and governmental institutions.
  • D. Zaqatala District
    Zaqatala District is an administrative region in northwestern Azerbaijan known for its mountainous landscapes, diverse ethnic communities, and location along the border with Georgia and Dagestan.
  • E. Buk District
    Buk District is an administrative district (gu) in the northern part of Busan, South Korea, known for its residential neighborhoods and local commercial centers.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bc145c8190a2d7a1d755d18251 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b35da08190b8c09ad393f310e3 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.