Triple

T12964391
Position Surface form Disambiguated ID Type / Status
Subject Barangay Justice System E321224 entity
Predicate resultOfSettlement P107724 FINISHED
Object written settlement agreement 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: written settlement agreement | Statement: [Barangay Justice System, resultOfSettlement, written settlement agreement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resultOfSettlement
Context triple: [Barangay Justice System, resultOfSettlement, written settlement agreement]
  • A. settlementWith
    Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
  • B. isSettlement
    Indicates that the subject entity functions as a human-inhabited place or community, such as a town, village, or city.
  • C. isSettlementOf
    Indicates that one entity is a settlement (such as a town, village, or city) that belongs to, is located within, or is administratively part of another entity.
  • D. hasSettlementOnBanks
    Indicates that a settlement is located on or along the banks of a geographic feature such as a river, lake, or coastline.
  • E. receivedSettlementAmount
    Indicates that an entity has obtained a specified amount of money or value as part of a settlement.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97dba57988190b786ffed55687a72 completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97e5811f481908178fac6d2e0efcd completed April 10, 2026, 10:48 p.m.
Created at: April 9, 2026, 8:25 p.m.