Triple

T23058910
Position Surface form Disambiguated ID Type / Status
Subject 1915 Avezzano earthquake E574240 entity
Predicate destroyedCity P37767 FINISHED
Object Avezzano 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: Avezzano | Statement: [1915 Avezzano earthquake, destroyedCity, Avezzano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avezzano
Context triple: [1915 Avezzano earthquake, destroyedCity, Avezzano]
  • A. Avezzano chosen
    Avezzano is a central Italian city in the Abruzzo region, known as an important agricultural and commercial hub in the Fucino plain.
  • B. Celano
    Celano is a historic town in Italy’s Abruzzo region, known for its medieval Piccolomini Castle overlooking the Fucino plain.
  • C. Roccaraso
    Roccaraso is a mountain town in Italy’s Abruzzo region, renowned as one of the country’s major ski and winter sports resorts.
  • D. Avigliano Umbro
    Avigliano Umbro is a small municipality in the Umbria region of central Italy, known for its rural landscape and traditional Italian village character.
  • E. Ceccano
    Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899e6c788190a2a862122cae8dc3 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.