Triple

T15758690
Position Surface form Disambiguated ID Type / Status
Subject Taipei Bridge E382035 entity
Predicate isNear P350 FINISHED
Object Sanchong urban area E354701 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: Sanchong urban area | Statement: [Taipei Bridge, isNear, Sanchong urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanchong urban area
Context triple: [Taipei Bridge, isNear, Sanchong urban area]
  • A. Dongsheng urban area
    Dongsheng urban area is the main urban center and administrative heart of Ordos in Inner Mongolia, China.
  • B. Sanchong District chosen
    Sanchong District is a densely populated urban district in New Taipei City, Taiwan, situated across the river from central Taipei and known for its residential neighborhoods and commercial activity.
  • C. Tong-gu
    Tong-gu is the former romanized name for Dong-gu, a central district of Busan, South Korea.
  • D. Gyeryong city
    Gyeryong city is a South Korean city in South Chungcheong Province known for its proximity to the sacred mountain Gyeryongsan and its role as a major military and administrative center.
  • E. Lanshan urban area
    Lanshan urban area is a principal urban district of Rizhao, a coastal city in Shandong Province, China, known for its port and industrial development.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877311dc8190b55fe7ca5c0843da completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.