Triple

T15228389
Position Surface form Disambiguated ID Type / Status
Subject Imus E363934 entity
Predicate hasNearbyCity P350 FINISHED
Object General Trias E363936 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: General Trias | Statement: [Imus, hasNearbyCity, General Trias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Trias
Context triple: [Imus, hasNearbyCity, General Trias]
  • A. General Trias chosen
    General Trias is a city in the province of Cavite in the Philippines, known for its rapid urbanization and growing residential and industrial developments.
  • B. Tayabas
    Tayabas is a historic city in the province of Quezon in the Calabarzon region of the Philippines, known for its Spanish-era heritage structures and cultural festivals.
  • C. Carmona
    Carmona is a municipality in the province of Cavite in the Philippines, known for its mix of residential communities and industrial estates.
  • D. 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.
  • E. Carmona
    Carmona is a Spanish-origin surname borne by people in various countries, notably in Spain and Latin America.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078ccdf48190b34eabd9e24e45a1 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd39d42881908f2ad47613e23bfa completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.