Triple

T6715653
Position Surface form Disambiguated ID Type / Status
Subject Ballymun E153259 entity
Predicate regenerationObjective P72833 FINISHED
Object improve quality of life for residents 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: improve quality of life for residents | Statement: [Ballymun, regenerationObjective, improve quality of life for residents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regenerationObjective
Context triple: [Ballymun, regenerationObjective, improve quality of life for residents]
  • A. regenerationOf
    Indicates that one entity is the renewed, restored, or regrown version of another entity, typically after damage, loss, or degradation.
  • B. regenerationAssociatedWith
    Indicates an association between a regeneration process and a related factor, condition, or entity involved in or linked to that regenerative activity.
  • C. regenerationAbility
    Indicates the capability of an entity to restore or regrow lost or damaged parts of itself.
  • D. featuresRegeneration
    Indicates that an entity possesses the ability to regenerate or regrow lost or damaged parts.
  • E. restorationGoal
    Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
PD Predicate disambiguation batch_69c6d08c5d348190a29dee668c398e70 completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d11fab808190b18160ff3829fcc6 completed March 27, 2026, 6:49 p.m.
Created at: March 27, 2026, 2:07 p.m.