Triple

T29624729
Position Surface form Disambiguated ID Type / Status
Subject A-18 E755104 entity
Predicate signageUsage P5950 FINISHED
Object station signage 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: station signage | Statement: [A-18, signageUsage, station signage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signageUsage
Context triple: [A-18, signageUsage, station signage]
  • A. hasSignage chosen
    Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
  • B. signageStandard
    Indicates that something conforms to, follows, or specifies a particular standard or convention for signage.
  • C. hasSignageIn
    Indicates that appropriate signs or signage for an entity are present or installed within a specified location or area.
  • D. scriptUsedInSignage
    Indicates that a particular writing system or script is employed in the text or graphics of a sign or signage.
  • E. hasSignageType
    Indicates the specific category or kind of signage associated with an object, location, or entity.
  • 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_69f0ef86b6ec8190a87fff07fd983b1e completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f67f7efc3c8190986d2d95b7a23729 completed May 2, 2026, 10:49 p.m.
PD Predicate disambiguation batch_69f67e40af9881908de3a4aa15f70a83 completed May 2, 2026, 10:44 p.m.
Created at: April 28, 2026, 6:36 p.m.