Triple

T18582681
Position Surface form Disambiguated ID Type / Status
Subject Tangshan Prefecture-level City E454154 entity
Predicate hasSubdivision P747 FINISHED
Object Lunan 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: Lunan District | Statement: [Tangshan Prefecture-level City, hasSubdivision, Lunan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunan District
Context triple: [Tangshan Prefecture-level City, hasSubdivision, Lunan District]
  • A. Lunan District chosen
    Lunan District is an urban administrative district within the city of Tangshan in Hebei Province, China.
  • B. Otyrar District
    Otyrar District is an administrative district in southern Kazakhstan, historically notable for encompassing the site of the ancient Silk Road city of Otyrar.
  • C. Anra District
    Anra District is an administrative district located within Huari Province in the Ancash Region of Peru.
  • D. Arua District
    Arua District is an administrative district in northwestern Uganda known for its strategic location near the borders with the Democratic Republic of the Congo and South Sudan and its role as a regional commercial hub.
  • E. Yanatile District
    Yanatile District is an administrative district located within Calca Province in Peru's Cusco Region, known for its Andean landscapes and rural communities.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543d10b1c8190a401df810b7290c9 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:44 a.m.