Triple

T1179304
Position Surface form Disambiguated ID Type / Status
Subject Ligurian Sea E25098 entity
Predicate hasPort P35 FINISHED
Object Port of Livorno E67624 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: Port of Livorno | Statement: [Ligurian Sea, hasPort, Port of Livorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Livorno
Context triple: [Ligurian Sea, hasPort, Port of Livorno]
  • A. Port of La Spezia
    The Port of La Spezia is a major commercial and container seaport in northwestern Italy, serving as an important maritime gateway for trade in the Mediterranean region.
  • B. Port of Savona
    The Port of Savona is a major commercial and passenger seaport in northwestern Italy, serving as an important hub for Mediterranean trade and cruise traffic.
  • C. Port of Ajaccio
    The Port of Ajaccio is a major maritime hub on the west coast of Corsica, serving as a key ferry, cruise, and commercial gateway for the city of Ajaccio and the surrounding region.
  • D. Genoa
    Genoa is a historic port city in northwestern Italy known for its significant maritime heritage, trade, and role as a major economic hub on the Ligurian coast.
  • E. Livorno chosen
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd1226fc819083d526ecd22af8ef completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f482808190b9a999ebbdbabc2e completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:45 p.m.