Triple

T9499346
Position Surface form Disambiguated ID Type / Status
Subject 81-717/714 series E229094 entity
Predicate usedIn P98 FINISHED
Object Yerevan Metro E470137 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: Yerevan Metro | Statement: [81-717/714 series, usedIn, Yerevan Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerevan Metro
Context triple: [81-717/714 series, usedIn, Yerevan Metro]
  • A. Yerevan Metro chosen
    Yerevan Metro is the rapid transit system serving Armenia’s capital city, providing underground rail transportation across key urban areas.
  • B. Tbilisi Metro
    Tbilisi Metro is the rapid transit system serving Georgia’s capital city, providing a primary backbone for urban public transportation.
  • C. Baku Metro
    Baku Metro is the rapid transit system serving Azerbaijan’s capital city, known for its Soviet-era architecture and role as a key component of Baku’s urban transportation network.
  • D. Tbilisi funicular
    The Tbilisi funicular is a historic hillside railway in Georgia’s capital that carries passengers between the city and the Mtatsminda plateau, offering panoramic views over Tbilisi.
  • E. Rustaveli Metro Station
    Rustaveli Metro Station is a major underground station on the Tbilisi Metro system in Georgia, serving as an important transit hub near the city’s central cultural and administrative area.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983a94c48190a7ddf95a953c4ecc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c02de448190a2feea16d5461726 completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:56 p.m.