Triple

T7114685
Position Surface form Disambiguated ID Type / Status
Subject Sofia Metro E165788 entity
Predicate hasStation P35 FINISHED
Object Serdika II station E643484 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: Serdika II station | Statement: [Sofia Metro, hasStation, Serdika II station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serdika II station
Context triple: [Sofia Metro, hasStation, Serdika II station]
  • A. Serdika station chosen
    Serdika station is a central interchange station in the Sofia Metro system, connecting key lines and serving as a major transit hub in Bulgaria’s capital.
  • B. Bessarion station
    Bessarion station is a Toronto subway station on Line 4 Sheppard, serving the North York area with access to nearby residential and commercial developments.
  • C. Bornova station
    Bornova station is a key terminal stop on the İzmir Metro system serving the Bornova district of İzmir, Turkey.
  • D. La Cisterna station
    La Cisterna station is a major interchange and southern endpoint of Santiago’s metro network, connecting Line 4A with other lines and local transport services.
  • E. Politécnico station
    Politécnico station is a Mexico City Metro station that serves as a key northern access point to the city’s public transit network, particularly for students and staff of the nearby National Polytechnic Institute.
  • 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_69c7ad86ac688190af97b42d0cb36b84 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:43 p.m.