Triple

T13850938
Position Surface form Disambiguated ID Type / Status
Subject Legnago E332937 entity
Predicate twinnedWith P1072 FINISHED
Object E370428 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: Aš | Statement: [Legnago, twinnedWith, Aš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aš
Context triple: [Legnago, twinnedWith, Aš]
  • A. chosen
    Aš is a town in the Karlovy Vary Region of the Czech Republic, located near the German border and known for its textile industry and borderland history.
  • B. Aku
    Aku is the shape-shifting demon overlord and primary villain who rules the dystopian future opposed by Samurai Jack in the animated series "Samurai Jack."
  • C. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • D. Atsi
    Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
  • E. Apsaras
    Apsaras are celestial nymphs in Hindu and Buddhist mythology, renowned for their beauty, grace, and skill in dance and music, who often serve as divine entertainers in heavenly realms.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f73838819085d6f052c00fc494 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.