Triple

T20156156
Position Surface form Disambiguated ID Type / Status
Subject Samseong-dong E491570 entity
Predicate governedBy P46 FINISHED
Object Gangnam-gu Office 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: Gangnam-gu Office | Statement: [Samseong-dong, governedBy, Gangnam-gu Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangnam-gu Office
Context triple: [Samseong-dong, governedBy, Gangnam-gu Office]
  • A. Gangnam-gu Office chosen
    Gangnam-gu Office is the local government authority responsible for administering and providing public services in Seoul’s affluent Gangnam District.
  • B. Gangseo-gu Office
    Gangseo-gu Office is the local administrative authority responsible for providing public services and managing municipal affairs in Seoul’s Gangseo District.
  • C. Gangseo-gu Office
    Gangseo-gu Office is the local government administrative body responsible for managing public services, development, and municipal affairs in Busan’s Gangseo District.
  • D. Jongno-gu Office
    Jongno-gu Office is the main local government building and administrative headquarters serving the Jongno District in central Seoul, South Korea.
  • E. Seongbuk-gu Office
    Seongbuk-gu Office is the main local government building and administrative headquarters serving Seoul’s Seongbuk District.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e0a0488190a25d92aaf300be4a completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.