Triple

T8048249
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Tehran Metro) E187608 entity
Predicate isBusiestLineOf P26423 FINISHED
Object Tehran Metro E35854 NE FINISHED

How this triple was built (3 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: Tehran Metro | Statement: [Line 1 (Tehran Metro), isBusiestLineOf, Tehran Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tehran Metro
Context triple: [Line 1 (Tehran Metro), isBusiestLineOf, Tehran Metro]
  • A. Tehran Metro chosen
    Tehran Metro is the rapid transit system serving Iran’s capital, providing extensive urban and suburban rail transport across the Tehran metropolitan area.
  • B. Mashhad Metro
    Mashhad Metro is the urban rapid transit system serving the city of Mashhad in northeastern Iran, providing high-capacity public transportation across the metropolitan area.
  • C. Tehran Metro Line 9
    Tehran Metro Line 9 is a planned rapid transit line intended to expand and improve the urban rail network in Iran’s capital, Tehran.
  • D. Tehran Metro Line 8
    Tehran Metro Line 8 is a planned or operational rapid transit line within the Tehran Metro system, serving as part of the urban rail network in Iran’s capital.
  • E. Tehran Metro Line 4
    Tehran Metro Line 4 is one of the main east–west rapid transit lines in Tehran’s metro network, serving key urban areas and providing access to major hubs including the route toward Mehrabad International Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isBusiestLineOf
Context triple: [Line 1 (Tehran Metro), isBusiestLineOf, Tehran Metro]
  • A. isBusiestStationIn
    Indicates that a station has the highest level of activity (e.g., passenger or traffic volume) within a specified area or system.
  • B. isBusiestInSystem chosen
    Indicates that an entity has the highest level of activity or load compared to all other entities within the same system.
  • C. isBusiestTerminalOf
    Indicates that one terminal is the busiest (i.e., handles the highest volume of activity) among all terminals associated with a given entity, such as an airport or transportation hub.
  • D. frontLineLength
    Indicates the total measured extent of the front line where opposing forces or boundaries directly face each other.
  • E. queueLength
    Indicates the current number of items or entities waiting in a queue.
  • F. None of above.

Provenance (4 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7711f48190af2002533c2e426a completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecd365ac8190bcc156e3b7597d56 completed April 1, 2026, 10 a.m.
PD Predicate disambiguation batch_69cb049a1b9c8190811c396421ebf9c9 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:24 p.m.