Triple

T13073325
Position Surface form Disambiguated ID Type / Status
Subject Northern Samareño E329506 entity
Predicate hasLocalGovernmentUnits P41452 FINISHED
Object municipalities of Northern Samar 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: municipalities of Northern Samar | Statement: [Northern Samareño, hasLocalGovernmentUnits, municipalities of Northern Samar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentUnits
Context triple: [Northern Samareño, hasLocalGovernmentUnits, municipalities of Northern Samar]
  • A. hasLocalGovernmentAreas chosen
    Indicates that an entity is administratively divided into, or associated with, one or more local government areas.
  • B. hasLocalGovernmentSystem
    Indicates that an entity possesses or operates under a particular system or structure of local government.
  • C. hasLocalGovernmentBody
    Indicates that an entity is administered or overseen by a specific local government authority or governing body.
  • D. hasLocalGovernmentUnitClass
    Indicates that a local government unit belongs to or is categorized under a specific administrative or governmental classification.
  • E. hasLocalSelfGovernment
    Indicates that an entity possesses its own local governing authority with decision-making powers over local affairs.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d981160e388190bab942a2ded2903e completed April 10, 2026, 11 p.m.
PD Predicate disambiguation batch_69d9803d46688190bac6b7d208f08d01 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9 p.m.