Triple

T30433154
Position Surface form Disambiguated ID Type / Status
Subject Place du Havre E774227 entity
Predicate hasAround P13155 FINISHED
Object shops 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: shops | Statement: [Place du Havre, hasAround, shops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAround
Context triple: [Place du Havre, hasAround, shops]
  • A. hasRound
    Indicates that an entity possesses, includes, or is associated with a particular round (e.g., a round of an event, game, or process).
  • B. hasSurroundings chosen
    Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
  • C. occursOnOrAround
    Indicates that an event or action takes place on a specific date or within a small, approximate time window surrounding that date.
  • D. around
    Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
  • E. activeAround
    Indicates that an entity is performing actions or exhibiting activity in the vicinity of another entity or location.
  • 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_69f22492d2a88190995ce8745d9becaa completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fccdd496048190bca801a8a9eecb62 completed May 7, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69fcccee6240819084680887731ff64b completed May 7, 2026, 5:33 p.m.
Created at: April 29, 2026, 8:07 p.m.