Triple

T5349129
Position Surface form Disambiguated ID Type / Status
Subject Lauro E124129 entity
Predicate locatedNear P294 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: [Lauro, locatedNear, Avellino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avellino
Context triple: [Lauro, locatedNear, 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. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • C. Priola
    Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
  • D. Capriglia Irpina
    Capriglia Irpina is a small town in the Campania region of southern Italy, historically noted as the birthplace of Pope Paul IV.
  • E. Rocciamelone
    Rocciamelone is a prominent mountain peak in the Italian Alps, known for its religious significance and panoramic views over the Susa Valley.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860ea7088190ad7be14132927d17 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21d0d4d08190a33c86553d2012fa completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.