Triple

T22424989
Position Surface form Disambiguated ID Type / Status
Subject Brindisi Airport E554344 entity
Predicate hasCityServed P3936 FINISHED
Object Lecce NE NERFINISHED

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: Lecce | Statement: [Brindisi Airport, hasCityServed, Lecce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lecce
Context triple: [Brindisi Airport, hasCityServed, Lecce]
  • A. Lecce chosen
    Lecce is a historic city in Italy’s Apulia region, renowned for its rich Baroque architecture and cultural heritage.
  • B. Nardò
    Nardò is a historic town in Italy’s Apulia region, known for its Baroque architecture and location in the province of Lecce in the Salento area.
  • C. Brindisi
    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.
  • D. Molfetta
    Molfetta is a coastal city in the Apulia region of southern Italy, known for its historic old town, fishing port, and Adriatic seaside location.
  • 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 (2 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2c47bc81908b8265d83fa6fb65 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.