Triple

T12229729
Position Surface form Disambiguated ID Type / Status
Subject PMQ E291442 entity
Predicate locatedIn P40 FINISHED
Object Central District E611989 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: Central District | Statement: [PMQ, locatedIn, Central District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central District
Context triple: [PMQ, locatedIn, Central District]
  • A. Central District
    Central District is the Honduran municipality that encompasses the capital city, Tegucigalpa, and its twin city, Comayagüela, serving as the political and administrative center of the country.
  • B. Central District
    The Central District is one of Israel’s main administrative regions, located in the central part of the country and encompassing several major cities and suburban areas.
  • C. Central District
    Central District is an administrative district in Botswana, known for being the country’s largest district by area and population and encompassing key towns such as Serowe and Palapye.
  • D. Central District chosen
    Central District is the English meaning of the name of Jung District in Daegu, South Korea, reflecting its location at the city's core.
  • E. Central District
    Central District is an administrative subdivision and the main district of Pakdasht County in Tehran Province, Iran.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca34fe88190900c8791c70948b7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ce31808190b66bd0ba1d9d2862 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:51 p.m.