Triple

T32830491
Position Surface form Disambiguated ID Type / Status
Subject Mexico City metropolitan airport system E839674 entity
Predicate coordinationFocus P31 FINISHED
Object slot allocation among airports 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: slot allocation among airports | Statement: [Mexico City metropolitan airport system, coordinationFocus, slot allocation among airports]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coordinationFocus
Context triple: [Mexico City metropolitan airport system, coordinationFocus, slot allocation among airports]
  • A. coordinationAspect
    Indicates a relationship where multiple entities are organized or aligned to work together in a coordinated manner, specifying how their actions or functions are synchronized.
  • B. coordina
    Indicates that one entity organizes, directs, or harmonizes the actions or efforts of another entity or group toward a common goal.
  • C. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • D. coordinatedUnder
    Indicates that one entity is organized, directed, or managed under the authority or coordination of another entity.
  • E. coordinationStyle
    Indicates how entities organize, align, and manage their joint actions or interactions with one another.
  • 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_69f3493f22f88190ae6dd4bc15b6cf8d completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: May 1, 2026, 1:16 a.m.