Triple

T12779479
Position Surface form Disambiguated ID Type / Status
Subject Nankai District E305465 entity
Predicate borderedBy P224 FINISHED
Object Heping District E167302 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: Heping District | Statement: [Nankai District, borderedBy, Heping District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heping District
Context triple: [Nankai District, borderedBy, Heping District]
  • A. Heping District chosen
    Heping District is a central urban district of Tianjin, China, known for its commercial centers, historic architecture, and role as a core administrative and cultural area of the city.
  • B. Fengtai District
    Fengtai District is an urban district in southwestern Beijing, China, known for its mix of residential, industrial, and historical areas, including the site of the Marco Polo Bridge.
  • C. Caofeidian District
    Caofeidian District is a coastal industrial and port district of Tangshan in Hebei Province, China, known for its large-scale steel, petrochemical, and logistics industries.
  • D. Haidian District
    Haidian District is a major urban district in northwest Beijing known for its universities, technology hubs, and historic imperial gardens.
  • E. Hongqi District
    Hongqi District is an urban administrative district within the prefecture-level city of Xinxiang in Henan Province, China.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7304f62288190aa7788fc6fb04254 completed May 3, 2026, 11:23 a.m.
Created at: April 9, 2026, 5:29 p.m.