Triple

T4400424
Position Surface form Disambiguated ID Type / Status
Subject Trier E93600 entity
Predicate hasTwinTown P919 FINISHED
Object Ascoli Piceno E362580 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: Ascoli Piceno | Statement: [Trier, hasTwinTown, Ascoli Piceno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ascoli Piceno
Context triple: [Trier, hasTwinTown, Ascoli Piceno]
  • A. Ascoli Piceno chosen
    Ascoli Piceno is a historic city in central Italy renowned for its medieval architecture, travertine-paved old town, and signature stuffed olive dish, olive all’ascolana.
  • B. Civitanova Marche
    Civitanova Marche is a coastal town and popular seaside resort on the Adriatic Sea in the Marche region of central Italy.
  • C. Campobasso
    Campobasso is a historic city in southern-central Italy that serves as the capital of the Molise region, known for its medieval castle and traditional craftsmanship.
  • D. Chieti
    Chieti is an ancient city in the Abruzzo region of central Italy, known for its Roman archaeological sites and medieval architecture.
  • E. Teramo
    Teramo is a historic city in the Abruzzo region of central Italy, known for its Roman archaeological remains and medieval architecture.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cd71ec8190a62320fd072f744f completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be819b434c8190a33d45dcbec81a34 completed March 21, 2026, 11:31 a.m.
Created at: March 12, 2026, 11:28 p.m.