Triple

T8778611
Position Surface form Disambiguated ID Type / Status
Subject Chieti E208665 entity
Predicate demonym P191 FINISHED
Object Chietini E208665 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: Chietini | Statement: [Chieti, demonym, Chietini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chietini
Context triple: [Chieti, demonym, Chietini]
  • A. Chieti chosen
    Chieti is an ancient city in the Abruzzo region of central Italy, known for its Roman archaeological sites and medieval architecture.
  • B. Teramo
    Teramo is a historic city in the Abruzzo region of central Italy, known for its Roman archaeological remains and medieval architecture.
  • C. Sulmona
    Sulmona is a historic town in Italy’s Abruzzo region, renowned as the birthplace of the poet Ovid and for its traditional confetti (sugar-coated almonds).
  • D. Terni
    Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
  • E. Pescasseroli
    Pescasseroli is a town in Italy’s Abruzzo region, best known as a gateway to the Abruzzo National Park and as the birthplace of philosopher and historian Benedetto Croce.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f531bd481909d877dadf9b6e9fb completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51d69af481909245ca327f36e9c2 completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.