Triple

T7114688
Position Surface form Disambiguated ID Type / Status
Subject Sofia Metro E165788 entity
Predicate hasStation P35 FINISHED
Object Sofia Airport station E165787 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: Sofia Airport station | Statement: [Sofia Metro, hasStation, Sofia Airport station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Airport station
Context triple: [Sofia Metro, hasStation, Sofia Airport station]
  • A. Sofia Central Station
    Sofia Central Station is the main railway hub in Bulgaria’s capital city, serving as a key national and international transport gateway.
  • B. Sofia Airport chosen
    Sofia Airport is the main international airport serving Bulgaria’s capital city, Sofia, and one of the country’s busiest air transport hubs.
  • C. Sofia Metro
    Sofia Metro is the rapid transit system serving Bulgaria’s capital city, providing high-capacity urban rail transport across Sofia and its metropolitan area.
  • D. Monastiraki station
    Monastiraki station is a central Athens Metro hub located in the historic Monastiraki district, serving as a key interchange point near major archaeological and tourist sites.
  • E. Aeroport metro station
    Aeroport metro station is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Aeroport District in the city’s north.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5f0dab8819092103aefcaa1f9c2 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbfc7a08190ab07f3d65aa79f16 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:43 p.m.