Triple

T18305770
Position Surface form Disambiguated ID Type / Status
Subject Ivry-sur-Seine E438478 entity
Predicate hasTwinTown P919 FINISHED
Object Dong Da District 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: Dong Da District | Statement: [Ivry-sur-Seine, hasTwinTown, Dong Da District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong Da District
Context triple: [Ivry-sur-Seine, hasTwinTown, Dong Da District]
  • A. Dong Da District chosen
    Dong Da District is a central urban district of Hanoi, Vietnam, known for its dense residential areas, historical sites, and role as a major commercial and educational hub of the capital.
  • B. Dongbao District
    Dongbao District is an urban administrative district under the jurisdiction of Jingmen City in Hubei Province, China, serving as the city's central area.
  • C. Chengdong District
    Chengdong District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
  • D. Shizhong District
    Shizhong District is an urban administrative district that serves as the central area of Zaozhuang City in Shandong Province, China.
  • E. Linzi District
    Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50183394081909b86cefaaa0a3aa8 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.