Triple

T4255583
Position Surface form Disambiguated ID Type / Status
Subject Sierre E95964 entity
Predicate hasTwinTown P919 FINISHED
Object Avellino E225371 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: Avellino | Statement: [Sierre, hasTwinTown, Avellino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avellino
Context triple: [Sierre, hasTwinTown, Avellino]
  • A. Avellino chosen
    Avellino is a city in southern Italy that serves as the capital of the province of the same name in the Campania region.
  • B. Priola
    Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
  • C. Capriglia Irpina
    Capriglia Irpina is a small town in the Campania region of southern Italy, historically noted as the birthplace of Pope Paul IV.
  • D. Rocciamelone
    Rocciamelone is a prominent mountain peak in the Italian Alps, known for its religious significance and panoramic views over the Susa Valley.
  • E. Frescati
    Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7151108819082b2f37945d6139e completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:06 p.m.