Triple

T3909566
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Trial Courts of the Philippines E87287 entity
Predicate handlesCivilMatter P52843 FINISHED
Object small money claims 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: small money claims | Statement: [Metropolitan Trial Courts of the Philippines, handlesCivilMatter, small money claims]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handlesCivilMatter
Context triple: [Metropolitan Trial Courts of the Philippines, handlesCivilMatter, small money claims]
  • A. legalCase
    Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
  • B. legalCaseAlongside
    Indicates that two or more legal cases are proceeding in parallel or in coordination, such that they are related or handled together in some aspect of the legal process.
  • C. civilVariant
    Indicates a relationship where one item is a civil (non-military or civilian-use) version or counterpart of another.
  • D. hasCivilSection
    Indicates that one legal document, case, or record includes or is associated with a specific civil law section or provision.
  • E. hasCivilDivision
    Indicates that one administrative or political entity is subdivided into, or is associated with, a specific civil division (such as a county, district, or municipality).
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1abe2dc81909c18aeae9b286898 completed March 9, 2026, 4:13 p.m.
PD Predicate disambiguation batch_69aee75cff148190b6d5979d17fae085 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aef1aada308190821a3dfa6af170b3 completed March 9, 2026, 4:13 p.m.
Created at: March 9, 2026, 3:22 p.m.