Triple

T9622405
Position Surface form Disambiguated ID Type / Status
Subject Goyang E232375 entity
Predicate hasConventionCenter P2412 FINISHED
Object KINTEX E809789 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: KINTEX | Statement: [Goyang, hasConventionCenter, KINTEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KINTEX
Context triple: [Goyang, hasConventionCenter, KINTEX]
  • A. KINTEX chosen
    KINTEX is a major convention and exhibition center in Goyang, South Korea, known for hosting large-scale trade shows, conferences, and events.
  • B. Daejeon Convention Center
    Daejeon Convention Center is a major exhibition and conference venue in Daejeon, South Korea, hosting large-scale conventions, trade shows, and cultural events.
  • C. COEX Mall
    COEX Mall is one of Asia’s largest underground shopping and entertainment complexes, located in Seoul’s upscale Gangnam area and featuring extensive retail, dining, and cultural attractions.
  • D. Songdo Convensia
    Songdo Convensia is a large, modern convention and exhibition center in Incheon’s Songdo International Business District, known for hosting international conferences, trade shows, and cultural events.
  • E. Expo 93 Daejeon
    Expo 93 Daejeon was an international exposition held in Daejeon, South Korea, showcasing science, technology, and culture as part of a world’s fair–style event.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad505588190b8c81ce09f1904ec completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18225f9508190bde23b9d2a40bccc completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:10 p.m.