Triple

T20466715
Position Surface form Disambiguated ID Type / Status
Subject Anif town hall E502069 entity
Predicate locatedIn P40 FINISHED
Object Anif NE NERFINISHED

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: Anif | Statement: [Anif town hall, locatedIn, Anif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anif
Context triple: [Anif town hall, locatedIn, Anif]
  • A. Anif chosen
    Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
  • B. Anelesi
    Anelesi are the inhabitants or natives of Anela, a town in Sardinia, Italy.
  • C. Anebos
    Anebos is a small mountain in the Palatinate Forest of southwestern Germany, known for the ruins of Anebos Castle near Annweiler am Trifels.
  • D. Aninri
    Aninri is a local government area in southeastern Nigeria known for its rural communities and agricultural activities within Enugu State.
  • E. Alessan
    Alessan is a key character in Anne McCaffrey’s Pern universe, known as the pragmatic and duty-bound Lord Holder of Ruatha in the novel "Moreta: Dragonlady of Pern."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.