Triple

T1703631
Position Surface form Disambiguated ID Type / Status
Subject Via Appia E36820 entity
Predicate endPoint P390 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: [Via Appia, endPoint, Brindisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brindisi
Context triple: [Via Appia, endPoint, 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f25bac8190977d6f3bd79363cb completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58af914c8190a27a834e3097bec7 completed March 9, 2026, 5:20 a.m.
Created at: March 4, 2026, 7:30 p.m.