Triple

T11058731
Position Surface form Disambiguated ID Type / Status
Subject Mexico City International Airport (via Metrobús Line 4) E261448 entity
Predicate isDirectConnection P97563 FINISHED
Object true LITERAL 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: true | Statement: [Mexico City International Airport (via Metrobús Line 4), isDirectConnection, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isDirectConnection
Context triple: [Mexico City International Airport (via Metrobús Line 4), isDirectConnection, true]
  • A. connectionDirection
    Indicates the directional flow or orientation of a connection from one entity to another.
  • B. isOnlyDirectCrossingBetween
    Indicates that one entity serves as the sole direct crossing (e.g., bridge, passage, or connection) between two other entities, with no alternative direct crossing available.
  • C. usesConnectionsIn
    Indicates that one entity employs or leverages the connections, relationships, or network associated with another entity to achieve some purpose.
  • D. connectsTo
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • E. hasConnection
    Indicates that there exists a link, association, or relationship between two entities.
  • F. None of above. chosen

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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69d7440da46c8190a77380d5d747ac9c completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750c99f9881908ee2b01b6ce4b3a1 completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.