Triple

T15429095
Position Surface form Disambiguated ID Type / Status
Subject Milan Metro Line 3 E369587 entity
Predicate station P726 FINISHED
Object Centrale FS E1153812 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: Centrale FS | Statement: [Milan Metro Line 3, station, Centrale FS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centrale FS
Context triple: [Milan Metro Line 3, station, Centrale FS]
  • A. Centrale FS chosen
    Centrale FS is a major Milan Metro station that serves the city's central railway hub, Milano Centrale, providing key connections between regional, national, and urban transit lines.
  • B. Centrale
    Centrale is a prestigious French engineering school renowned for its rigorous scientific curriculum and role in training elite engineers and industry leaders.
  • C. Centrale
    Centrale is a major shopping centre located in the London Borough of Croydon, featuring a wide range of retail stores and services.
  • D. Viarmes station
    Viarmes station is a railway stop in the commune of Viarmes in northern France, serving local passenger trains on the regional network.
  • E. Infrabel
    Infrabel is the Belgian railway infrastructure manager responsible for the construction, maintenance, and operation of the national rail network.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a827d9081909fabc48bc685ba5b completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:21 a.m.