Triple

T6401706
Position Surface form Disambiguated ID Type / Status
Subject Sagene district E144077 entity
Predicate hasRedevelopedArea P70431 FINISHED
Object converted industrial buildings 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: converted industrial buildings | Statement: [Sagene district, hasRedevelopedArea, converted industrial buildings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRedevelopedArea
Context triple: [Sagene district, hasRedevelopedArea, converted industrial buildings]
  • A. hasRedevelopmentProgram
    Indicates that an entity is subject to or involved in a planned process of redevelopment, typically through an organized program or initiative.
  • B. hasRedevelopmentGoal
    Indicates that an entity is associated with a specific objective or target related to redevelopment or renewal activities.
  • C. reopenedAfterRedevelopment
    Indicates that a place or facility was closed for redevelopment and subsequently opened again once the redevelopment was completed.
  • D. partOfRedevelopmentOf
    Indicates that something is a component or phase within a larger redevelopment project or process.
  • E. redevelopmentFor
    Indicates a relationship where one entity is intended, designated, or used for the redevelopment of another entity.
  • F. None of above. chosen

Provenance (4 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068ade8c881908a0472f1de6b7c21 completed March 22, 2026, 10:09 p.m.
PD Predicate disambiguation batch_69c060f40ecc8190b1df17b96767675c completed March 22, 2026, 9:36 p.m.
PDg Predicate description generation batch_69c0623d23448190a75cf5d802fc0a02 completed March 22, 2026, 9:42 p.m.
Created at: March 22, 2026, 4:35 p.m.