Triple

T6719158
Position Surface form Disambiguated ID Type / Status
Subject Beach 60th Street E153350 entity
Predicate hasNameSignage P20223 FINISHED
Object standard black name plates with white lettering 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: standard black name plates with white lettering | Statement: [Beach 60th Street, hasNameSignage, standard black name plates with white lettering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameSignage
Context triple: [Beach 60th Street, hasNameSignage, standard black name plates with white lettering]
  • A. hasSignageName chosen
    Indicates that an entity has a specific name or label as it appears on its physical signage.
  • B. hasSignage
    Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
  • C. hasSignageType
    Indicates the specific category or kind of signage associated with an object, location, or entity.
  • D. hasSignageIn
    Indicates that appropriate signs or signage for an entity are present or installed within a specified location or area.
  • E. hasSignagePrefix
    Indicates that one signage element begins with or contains another signage element as its initial segment or prefix.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d135d27c819088c45839ad0e7bab completed March 27, 2026, 6:49 p.m.
PD Predicate disambiguation batch_69c6d08c5d348190a29dee668c398e70 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:07 p.m.