Triple

T10174371
Position Surface form Disambiguated ID Type / Status
Subject Province of Massa-Carrara E235812 entity
Predicate contains P35 FINISHED
Object Fivizzano E523458 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: Fivizzano | Statement: [Province of Massa-Carrara, contains, Fivizzano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fivizzano
Context triple: [Province of Massa-Carrara, contains, Fivizzano]
  • A. Fivizzano chosen
    Fivizzano is a historic town and comune in the province of Massa-Carrara in Tuscany, central Italy, known for its medieval architecture and scenic Apennine surroundings.
  • B. Vicopisano
    Vicopisano is a historic Tuscan town in central Italy known for its medieval architecture and scenic setting near the Arno River.
  • C. Fiuggi
    Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
  • D. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369a120208190b572b61cd6c7da72 completed April 6, 2026, 8:06 a.m.
Created at: March 30, 2026, 9:11 p.m.