Triple

T6983324
Position Surface form Disambiguated ID Type / Status
Subject Murat district E161899 entity
Predicate borders P224 FINISHED
Object Bari Vecchia E29192 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: Bari Vecchia | Statement: [Murat district, borders, Bari Vecchia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bari Vecchia
Context triple: [Murat district, borders, Bari Vecchia]
  • A. Bari chosen
    Bari is a major port city in southern Italy that served as an important Allied military hub and logistics center during World War II.
  • B. Luino
    Luino is a town in northern Italy’s Lombardy region, known for its lakeside setting near the Swiss border and its historic weekly market.
  • C. 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.
  • D. Lecce
    Lecce is a historic city in Italy’s Apulia region, renowned for its rich Baroque architecture and cultural heritage.
  • E. Civitavecchia
    Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db90e9108190a7aedeef1fb17eb4 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad70f09881909f1a03f295486942 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:31 p.m.