Triple

T34433742
Position Surface form Disambiguated ID Type / Status
Subject Lacq E883894 entity
Predicate hasIndustrialConversion P198012 FINISHED
Object post-gas-field reconversion projects 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: post-gas-field reconversion projects | Statement: [Lacq, hasIndustrialConversion, post-gas-field reconversion projects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIndustrialConversion
Context triple: [Lacq, hasIndustrialConversion, post-gas-field reconversion projects]
  • A. hasIndustrialTransition chosen
    Indicates a change in an entity’s industrial status, phase, or structure from one defined industrial state to another.
  • B. hasIndustrialDevelopment
    Indicates that an entity possesses, supports, or is characterized by industrial growth, infrastructure, or manufacturing-related development.
  • C. hasIndustrialContext
    Indicates that something is associated with, situated within, or relevant to an industrial setting, process, or application.
  • D. hasIndustrialTown
    Indicates that an entity possesses or is associated with a town characterized primarily by industrial activities or facilities.
  • E. industrializedBy
    Indicates that an entity has undergone industrial development or transformation as a result of actions carried out by another specified agent or process.
  • 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_69f349c3dd2c819092cc9e64809f4a42 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a002dd4066c8190945a09ed82f44f3f completed May 10, 2026, 7:03 a.m.
PD Predicate disambiguation batch_6a002b141f4081909999e14988105f3a completed May 10, 2026, 6:52 a.m.
Created at: May 1, 2026, 2 a.m.