Triple

T4891358
Position Surface form Disambiguated ID Type / Status
Subject Frentani E109569 entity
Predicate importantSettlement P43828 FINISHED
Object Ortona E371270 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: Ortona | Statement: [Frentani, importantSettlement, Ortona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ortona
Context triple: [Frentani, importantSettlement, Ortona]
  • A. Ortona chosen
    Ortona is a coastal town and seaport on the Adriatic in Italy’s Abruzzo region, known historically for its strategic location and medieval heritage.
  • B. Rieti
    Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
  • C. Monfalcone
    Monfalcone is an industrial port town in northeastern Italy, known for its major shipbuilding industry and location on the Gulf of Trieste.
  • D. Legnago
    Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
  • E. Pescara
    Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7163789c81909d5c7d0f6756ca58 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:28 p.m.