Triple

T2536936
Position Surface form Disambiguated ID Type / Status
Subject United Nations Global Service Centre in Brindisi E56291 entity
Predicate city P40 FINISHED
Object Brindisi E131131 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: Brindisi | Statement: [United Nations Global Service Centre in Brindisi, city, Brindisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brindisi
Context triple: [United Nations Global Service Centre in Brindisi, city, Brindisi]
  • A. Brindisi chosen
    Brindisi is a historic port city in southern Italy’s Apulia region, long serving as a key maritime gateway between Italy and the eastern Mediterranean.
  • B. Taranto
    Taranto is a historic coastal city in southern Italy known as a major naval and commercial hub and for its strategic position on the Gulf of Taranto.
  • 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. Bari
    Bari is a major port city in southern Italy that served as an important Allied military hub and logistics center during World War II.
  • E. 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.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd297e9a881909e592187a78eacaa completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d1c73d88190b4e871b9876e1a52 completed March 10, 2026, 1:31 p.m.
Created at: March 6, 2026, 9:47 p.m.