Triple

T33148828
Position Surface form Disambiguated ID Type / Status
Subject City of Las Piñas E848380 entity
Predicate isCoExtensiveWith P6530 FINISHED
Object Lone District of Las Piñas NE NERFINISHED

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: Lone District of Las Piñas | Statement: [City of Las Piñas, isCoExtensiveWith, Lone District of Las Piñas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCoExtensiveWith
Context triple: [City of Las Piñas, isCoExtensiveWith, Lone District of Las Piñas]
  • A. isExtensiveIn
    Indicates that one entity is widespread, far-reaching, or broadly distributed within, across, or throughout another entity or domain.
  • B. isIntersectionOf
    Indicates that something is the exact common part shared by two or more other things, typically where they overlap or meet.
  • C. equivalentTo chosen
    Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
  • D. isEquiconsistentWith
    Indicates that two formal theories or systems have the same consistency strength, such that if one is consistent then the other is also consistent, and if one is inconsistent then so is the other.
  • E. isCommonlyDefinedBy
    Indicates that something is typically or most frequently characterized, specified, or described by a particular definition, property, or set of criteria.
  • 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_69f3495a458c8190a1d34b237ba0be3f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6db6af1d88190989810182354d60f completed May 3, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69f6d82d068c8190940a3200ed760e38 completed May 3, 2026, 5:07 a.m.
Created at: May 1, 2026, 1:28 a.m.