Triple

T25824234
Position Surface form Disambiguated ID Type / Status
Subject TAPO E650482 entity
Predicate oneOfMainBusTerminalsOf P81938 FINISHED
Object Mexico City 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: Mexico City | Statement: [TAPO, oneOfMainBusTerminalsOf, Mexico City]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oneOfMainBusTerminalsOf
Context triple: [TAPO, oneOfMainBusTerminalsOf, Mexico City]
  • A. isMainBusStationFor chosen
    Indicates that one bus station serves as the primary or central station for a particular area, network, or service.
  • B. hasBusTerminalType
    Indicates the specific category or type of bus terminal associated with an entity.
  • C. otherMajorTerminal
    Indicates that an entity is associated with a different primary terminal or endpoint than the one currently referenced or considered.
  • D. hasBusStation
    Indicates that a place or area contains or is served by a bus station.
  • E. transportTerminusFor
    Indicates that a location serves as the endpoint or final stop for a particular transport route or service.
  • F. None of above.

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_69e7ab367fcc8190a5ff1e7f3da046a4 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6135293908190809e255bf6334760 completed May 2, 2026, 3:08 p.m.
PD Predicate disambiguation batch_69f611a72780819082f44e66ca2c6ac9 completed May 2, 2026, 3 p.m.
Created at: April 22, 2026, 7:31 a.m.