Triple

T11360957
Position Surface form Disambiguated ID Type / Status
Subject PMO E269082 entity
Predicate operator P179 FINISHED
Object GESAP S.p.A. E269084 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: GESAP S.p.A. | Statement: [PMO, operator, GESAP S.p.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GESAP S.p.A.
Context triple: [PMO, operator, GESAP S.p.A.]
  • A. GESAP S.p.A. chosen
    GESAP S.p.A. is the company responsible for managing and operating Palermo’s main international airport in Sicily, Italy.
  • B. SAVE S.p.A.
    SAVE S.p.A. is an Italian company that manages and operates Venice Marco Polo Airport and other related airport and infrastructure services.
  • C. Sogeti
    Sogeti is a professional services and technology consulting company specializing in IT and engineering solutions, operating as a subsidiary of Capgemini.
  • D. SAGAT S.p.A.
    SAGAT S.p.A. is the Italian company responsible for managing and operating Turin Airport and its associated services.
  • E. Egis Group
    Egis Group is a global engineering and infrastructure consulting firm that manages and operates transportation facilities such as airports, roads, and urban transit systems.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea442e5c8190babfde25540b27e9 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556542ecc8190a8109c17944598ab completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.