Triple

T19780408
Position Surface form Disambiguated ID Type / Status
Subject D25 E475114 entity
Predicate hasRoadSignCode P18567 FINISHED
Object D25 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: D25 | Statement: [D25, hasRoadSignCode, D25]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoadSignCode
Context triple: [D25, hasRoadSignCode, D25]
  • A. hasRoadSign
    Indicates that one entity possesses, displays, or is associated with a particular road sign.
  • B. roadSignCode chosen
    Indicates the specific regulatory or informational code assigned to a road sign that defines its meaning or instruction.
  • C. hasHazardSignage
    Indicates that appropriate warning or hazard signs are present to alert people to potential dangers associated with the entity.
  • D. usedOnRoadSigns
    Indicates that something (such as a symbol, color, or material) is employed in the design or construction of road signs.
  • E. roadSignageIndicates
    Indicates that a piece of road signage conveys, displays, or communicates specific information, instructions, or warnings about road conditions or regulations.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
PD Predicate disambiguation batch_69e53053ed2881908400becdfada7fd3 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:49 p.m.