Triple

T24952064
Position Surface form Disambiguated ID Type / Status
Subject Terminal D E624366 entity
Predicate hasConcourseDesignation P1656 FINISHED
Object D 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: D | Statement: [Terminal D, hasConcourseDesignation, D]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConcourseDesignation
Context triple: [Terminal D, hasConcourseDesignation, D]
  • A. hasConcourse chosen
    Indicates that an entity includes, is connected to, or is served by a concourse area (such as a passageway or central hall).
  • B. hasConcourseLevel
    Indicates that an entity possesses or is associated with a specific concourse level within a building or facility.
  • C. hasCriticalDesignation
    Indicates that an entity has been assigned a status or label marking it as critical in importance, priority, or required attention.
  • D. hasBDDesignation
    Indicates that an entity has been assigned a specific BD (Business Development or similar domain-specific) designation or classification.
  • E. hasDevelopmentDesignation
    Indicates that an entity is assigned a specific development-related status, category, or designation within a development process or framework.
  • 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_69e2ff22e4c48190a0444b5a044f14e8 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69f673c2f81c8190bf369226306eef09 completed May 2, 2026, 9:59 p.m.
Created at: April 18, 2026, 5:57 a.m.