Triple

T7444051
Position Surface form Disambiguated ID Type / Status
Subject Pied-Noir E171825 entity
Predicate populationAfter1962 P23346 FINISHED
Object mainly in France 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: mainly in France | Statement: [Pied-Noir, populationAfter1962, mainly in France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationAfter1962
Context triple: [Pied-Noir, populationAfter1962, mainly in France]
  • A. countryAfter1961
    Indicates that one entity is recognized as a country at some point after the year 1961.
  • B. statusAfter1946
    Indicates the status or condition of an entity as it existed after the year 1946.
  • C. regionAfter1974
    Indicates that the specified region is defined or recognized as it exists after the year 1974, typically reflecting post-1974 political or administrative boundaries.
  • D. formerPopulation chosen
    Indicates that an entity once had a certain population value or size during a past time period but no longer does.
  • E. statusAfter1956
    Indicates the status or condition of an entity as it existed at any time after the year 1956.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36e9a588190b54b8bae181fc971 completed March 27, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69c6f039f7248190bb4183f97b605763 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:13 p.m.