Triple

T7669212
Position Surface form Disambiguated ID Type / Status
Subject Province of Pescara E173704 entity
Predicate capital P234 FINISHED
Object Pescara E32082 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: Pescara | Statement: [Province of Pescara, capital, Pescara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pescara
Context triple: [Province of Pescara, capital, Pescara]
  • A. Pescara chosen
    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.
  • B. Chieti
    Chieti is an ancient city in the Abruzzo region of central Italy, known for its Roman archaeological sites and medieval architecture.
  • C. Ancona
    Ancona is a historic port city on Italy’s Adriatic coast, notable for its long-standing Jewish community and role as a commercial and cultural crossroads.
  • D. Foggia
    Foggia is a city in the Apulia region of southern Italy, historically significant as a medieval center and later as an important agricultural and commercial hub.
  • E. Lecce
    Lecce is a historic city in Italy’s Apulia region, renowned for its rich Baroque architecture and cultural heritage.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c3ff38819090d65ac4ae218750 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9c89d62c08190b575d7e1058afbeb completed March 30, 2026, 12:49 a.m.
Created at: March 27, 2026, 4 p.m.