Triple

T4317898
Position Surface form Disambiguated ID Type / Status
Subject National Alliance E96436 entity
Predicate foundedAt P4025 FINISHED
Object Fiuggi E346294 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: Fiuggi | Statement: [National Alliance, foundedAt, Fiuggi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiuggi
Context triple: [National Alliance, foundedAt, Fiuggi]
  • A. Fiuggi chosen
    Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
  • B. Montefiascone
    Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
  • C. 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.
  • D. Gubbio
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • E. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f883c88190a2d72f7d124eef43 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9193c08190a6a63b82f604ecde completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:12 p.m.