Triple

T17760047
Position Surface form Disambiguated ID Type / Status
Subject Suwałki E443345 entity
Predicate hasTwinTown P919 FINISHED
Object Lanciano, Italy 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: Lanciano, Italy | Statement: [Suwałki, hasTwinTown, Lanciano, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanciano, Italy
Context triple: [Suwałki, hasTwinTown, Lanciano, Italy]
  • A. Lanciano chosen
    Lanciano is a historic town in Italy’s Abruzzo region, known for its medieval architecture and as the site of a famous Eucharistic miracle.
  • B. Calenzano, Italy
    Calenzano, Italy is a Tuscan municipality near Florence known for its medieval castle, historic hilltop village, and mix of industrial and residential areas.
  • C. Montella, Italy
    Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
  • D. Lodi, Italy
    Lodi, Italy is a historic city in the Lombardy region of northern Italy, known for its medieval center, Renaissance architecture, and role as an important agricultural and commercial hub on the River Adda.
  • E. Gricigliano, Italy
    Gricigliano is a small village in Tuscany, Italy, known for its historic villas and as a center of traditional Catholic seminary life.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48421c3048190b26864b72aad0d70 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.