Triple

T9860368
Position Surface form Disambiguated ID Type / Status
Subject Annino E239693 entity
Predicate namedAfter P63 FINISHED
Object Annino District E826808 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: Annino District | Statement: [Annino, namedAfter, Annino District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annino District
Context triple: [Annino, namedAfter, Annino District]
  • A. Annino District chosen
    Annino District is an administrative district of Moscow, Russia, known primarily as a residential area within the city’s Southern Administrative Okrug.
  • B. Arani Province
    Arani Province is an administrative subdivision located in central Bolivia, within the Cochabamba Department.
  • C. Marfino District
    Marfino District is a residential and administrative area in the north of Moscow, Russia, known for its Soviet-era architecture and proximity to major transport links.
  • D. Lori Province
    Lori Province is a northern region of Armenia known for its mountainous landscapes, forests, and the city of Vanadzor as its regional center.
  • E. Vallegrande Province
    Vallegrande Province is an administrative province located within Bolivia’s Santa Cruz Department, known for its rural communities and historical association with Che Guevara.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b582cc81909a6d638fe2573c43 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead91ee88190bd4cb28ab16bf703 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:35 p.m.