Triple

T31030076
Position Surface form Disambiguated ID Type / Status
Subject Cayeux-sur-Mer E790696 entity
Predicate hasBeachHutsMaterial P107837 FINISHED
Object wood 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: wood | Statement: [Cayeux-sur-Mer, hasBeachHutsMaterial, wood]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBeachHutsMaterial
Context triple: [Cayeux-sur-Mer, hasBeachHutsMaterial, wood]
  • A. hasBeachHuts
    Indicates that one location or area includes or is equipped with beach huts.
  • B. hasBuildingMaterialInHut chosen
    Indicates that a hut is constructed using a specified building material.
  • C. hasBeachHammocks
    Indicates that a place or accommodation provides hammocks located on or directly adjacent to a beach.
  • D. hasBedMaterial
    Indicates that one entity has, contains, or is characterized by a particular bed material (e.g., the substance forming the base or bedding of that entity).
  • E. hasBeachCharacteristic
    Indicates that something possesses a specific quality, feature, or attribute associated with a beach.
  • 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_69f224c97a788190b5da1ead6038a74e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f7465687bc8190a9da44d62b634ed7 completed May 3, 2026, 12:57 p.m.
PD Predicate disambiguation batch_69f743f4ceb08190a21fe7f4a99b166b completed May 3, 2026, 12:47 p.m.
Created at: April 29, 2026, 8:59 p.m.