Triple

T20466720
Position Surface form Disambiguated ID Type / Status
Subject Anif town hall E502069 entity
Predicate function P88 FINISHED
Object civic center of 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: civic center of Anif | Statement: [Anif town hall, function, civic center of Anif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: civic center of Anif
Context triple: [Anif town hall, function, civic center of Anif]
  • A. municipality of Anif chosen
    The municipality of Anif is a small, affluent community just south of Salzburg, Austria, known for its scenic setting, historic Anif Palace, and role as a residential suburb of the city.
  • B. Affori Centro
    Affori Centro is an underground station on Milan’s Metro Line 3 serving the Affori district in the northern part of the city.
  • C. Centrul Civic
    Centrul Civic is a centrally located urban area in Bucharest known for its large-scale communist-era redevelopment, monumental architecture, and proximity to major administrative and cultural landmarks.
  • D. Centrum
    Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
  • E. Centrum
    Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
  • 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.