Triple

T15859341
Position Surface form Disambiguated ID Type / Status
Subject Longo E384540 entity
Predicate hasVariant P455 FINISHED
Object Lo Longo E384540 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: Lo Longo | Statement: [Longo, hasVariant, Lo Longo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lo Longo
Context triple: [Longo, hasVariant, Lo Longo]
  • A. Hanlong Long
    Hanlong Long is an individual notable enough to be recognized as a namesake bearer of the surname Long.
  • B. Longo chosen
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • C. Thieu
    Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
  • D. Langho
    Langho is a village in Lancashire, England, situated within the rural borough of Ribble Valley.
  • E. Laizo Chin
    Laizo Chin is a dialect of the Falam Chin language spoken by the Chin people of northwestern Myanmar and neighboring regions.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555a1f008190bb3f03b0f35ed8a4 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14da7ac8190bbef49a1602a76fe completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.