Triple

T13221649
Position Surface form Disambiguated ID Type / Status
Subject Scheggino E314767 entity
Predicate locatedNear P294 FINISHED
Object Norcia E214236 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: Norcia | Statement: [Scheggino, locatedNear, Norcia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norcia
Context triple: [Scheggino, locatedNear, Norcia]
  • A. Norcia chosen
    Norcia is a historic town in central Italy renowned for its medieval architecture, monastic heritage, and traditional cured meats.
  • B. Grignone
    Grignone is the higher, more prominent summit of the Grigna massif in the Lombardy region of northern Italy, popular with hikers and climbers for its panoramic Alpine views.
  • C. Nocera Umbra
    Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
  • D. Pescasseroli
    Pescasseroli is a town in Italy’s Abruzzo region, best known as a gateway to the Abruzzo National Park and as the birthplace of philosopher and historian Benedetto Croce.
  • E. Vetralla
    Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf581508190883033f0c961736a completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c0b24c819082d0ec947b7d99ea completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:18 p.m.