Triple

T38243514
Position Surface form Disambiguated ID Type / Status
Subject Pont Samson E1013831 entity
Predicate importanceLocale P89351 FINISHED
Object ouvrage de franchissement notable de Bayeux 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: ouvrage de franchissement notable de Bayeux | Statement: [Pont Samson, importanceLocale, ouvrage de franchissement notable de Bayeux]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: importanceLocale
Context triple: [Pont Samson, importanceLocale, ouvrage de franchissement notable de Bayeux]
  • A. locale
    Indicates that one entity is the place, setting, or geographic area in which another entity exists, occurs, or is situated.
  • B. localeType
    Indicates the classification or category of a locale (such as region, city, or venue type) that characterizes the kind of place involved in the relationship.
  • C. localization
    Indicates the spatial or contextual placement of one entity relative to another or within a specific environment.
  • D. localImportance chosen
    Indicates that something holds particular significance, influence, or priority within a specific, limited context or area rather than globally.
  • E. relativeImportanceInCountry
    Indicates the comparative significance or priority of something within the context of a specific country.
  • 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_69f76dd7e89c8190b7866bc85aea521b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:30 p.m.