Triple

T19927331
Position Surface form Disambiguated ID Type / Status
Subject Technical University E478958 entity
Predicate owner P347 FINISHED
Object Tbilisi Transport Company NE NERFINISHED

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: Tbilisi Transport Company | Statement: [Technical University, owner, Tbilisi Transport Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tbilisi Transport Company
Context triple: [Technical University, owner, Tbilisi Transport Company]
  • A. Tbilisi Transport Company chosen
    Tbilisi Transport Company is the municipal organization responsible for operating and managing public transportation services in Tbilisi, Georgia.
  • B. Tbilisi Metro
    Tbilisi Metro is the rapid transit system serving Georgia’s capital city, providing a primary backbone for urban public transportation.
  • C. Tbilisi–Yerevan service
    The Tbilisi–Yerevan service is an international passenger train connection linking the capitals of Georgia and Armenia across the South Caucasus.
  • D. Tbilisi road network
    The Tbilisi road network is the system of streets, avenues, and highways that facilitates vehicular movement and connectivity throughout Georgia’s capital city.
  • E. Mosgortrans
    Mosgortrans is the main state-owned public transport company in Moscow, responsible for operating much of the city’s surface transit system including buses, trams, and trolleybuses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659cc1a448190aa98d4a66022457e completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.