Triple

T11831035
Position Surface form Disambiguated ID Type / Status
Subject Ateni E281389 entity
Predicate distanceTo P350 FINISHED
Object Gori E1743 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: Gori | Statement: [Ateni, distanceTo, Gori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gori
Context triple: [Ateni, distanceTo, Gori]
  • A. Gori chosen
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • B. Goris
    Goris is a town in southern Armenia known for its historic stone houses, surrounding cave dwellings, and role as a regional cultural and transportation hub.
  • C. Didgori
    Didgori is a historic site in eastern Georgia renowned as the location of the decisive 1121 battle where King David IV’s forces defeated the Seljuk Turks.
  • D. Goria
    Goria is an Italian surname most notably associated with Giovanni Goria, a former Prime Minister of Italy.
  • E. Goromonzi
    Goromonzi is a town and rural district center in northeastern Zimbabwe known for its agricultural activities and proximity to the capital, Harare.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62c95988190a45dbaa7001c8846 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16741d9a08190b6d6d5e59dfa41b8 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.