Triple

T15932947
Position Surface form Disambiguated ID Type / Status
Subject Apalit E386366 entity
Predicate borders P224 FINISHED
Object Calumpit E397298 NE 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: Calumpit | Statement: [Apalit, borders, Calumpit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calumpit
Context triple: [Apalit, borders, Calumpit]
  • A. Calumpit chosen
    Calumpit is a historic riverside municipality in the province of Bulacan in the Philippines, known for its role in the Philippine Revolution and its annual religious and cultural festivals.
  • B. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • C. Cerritos
    Cerritos is a suburban city in southeastern Los Angeles County, California, known for its planned residential communities, strong public schools, and major retail centers like the Los Cerritos Center.
  • D. Metztitlán
    Metztitlán is a town and municipality in the state of Hidalgo, Mexico, known for its dramatic canyon landscapes, rich biodiversity, and the nearby Metztitlán Biosphere Reserve.
  • E. Carmona
    Carmona is a historic town in southern Spain renowned for its well-preserved medieval and Moorish architecture, including ancient city walls and hilltop fortifications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a6d9b88190b461d12d69b12ac0 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b514108190965e77346d8b476e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.