Triple

T7060406
Position Surface form Disambiguated ID Type / Status
Subject Daxi District E164200 entity
Predicate borderedBy P224 FINISHED
Object Bade District E628411 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: Bade District | Statement: [Daxi District, borderedBy, Bade District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bade District
Context triple: [Daxi District, borderedBy, Bade District]
  • A. Bade District chosen
    Bade District is an urban district in Taoyuan City, Taiwan, known for its residential communities and growing industrial and commercial development.
  • B. Andar District
    Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
  • C. Pishin District
    Pishin District is an administrative district in the Balochistan province of Pakistan, known for its agricultural economy and predominantly Pashtun population.
  • D. 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.
  • E. Baabda District
    Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e459de348190912cd5326fb8bee0 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810a6b5348190bdf98a2fd98c9dc5 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 2:38 p.m.