Triple

T9149160
Position Surface form Disambiguated ID Type / Status
Subject Chongqing Xi Railway Station E219536 entity
Predicate locatedIn P40 FINISHED
Object Shapingba District E192023 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: Shapingba District | Statement: [Chongqing Xi Railway Station, locatedIn, Shapingba District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shapingba District
Context triple: [Chongqing Xi Railway Station, locatedIn, Shapingba District]
  • A. Shapingba District chosen
    Shapingba District is a major urban district of Chongqing, China, known for its universities, historical sites, and role as an educational and cultural center of the city.
  • B. Seo District
    Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
  • C. Koléa District
    Koléa District is an administrative district in northern Algeria, situated within Tipaza Province along the Mediterranean coast.
  • D. Shenkeng District
    Shenkeng District is a suburban district of New Taipei City in northern Taiwan, best known for its historic old street and specialty stinky tofu cuisine.
  • E. Jung District
    Jung District is a central administrative and commercial district of Busan, South Korea, known for its historic markets, port-side location, and dense urban landscape.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96908d88190a1d12517f6d1aece completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065c9dcf08190804bd1ae8f7874dc completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:20 p.m.