Triple

T21689036
Position Surface form Disambiguated ID Type / Status
Subject Michele Placido E535308 entity
Predicate placeOfBirth P1 FINISHED
Object Ascoli Satriano 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: Ascoli Satriano | Statement: [Michele Placido, placeOfBirth, Ascoli Satriano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ascoli Satriano
Context triple: [Michele Placido, placeOfBirth, Ascoli Satriano]
  • A. Ascoli Satriano chosen
    Ascoli Satriano is a historic town in the Apulia region of southern Italy, known for its ancient origins and archaeological heritage.
  • B. Ascoli Piceno
    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.
  • C. Civitanova Marche
    Civitanova Marche is a coastal town and popular seaside resort on the Adriatic Sea in the Marche region of central Italy.
  • D. 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.
  • E. Aversa
    Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cd51d481908df67e4f69826b06 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.