Triple

T8104292
Position Surface form Disambiguated ID Type / Status
Subject Mindoro E189188 entity
Predicate partOf P40 FINISHED
Object Mimaropa E101544 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: Mimaropa | Statement: [Mindoro, partOf, Mimaropa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mimaropa
Context triple: [Mindoro, partOf, Mimaropa]
  • A. Mimaropa chosen
    Mimaropa is an administrative region in the Philippines composed of island provinces in the southwestern part of Luzon.
  • B. Lagunas region
    The Lagunas region is a subregion of the Mexican state of Jalisco known for its numerous lakes and lagoons, which shape its local economy and landscape.
  • C. Laguna Region
    The Laguna Region is an important industrial and agricultural area in northern Mexico, centered around the cities of Torreón, Gómez Palacio, and Lerdo, known especially for cotton production and dairy farming.
  • D. Calabarzon region
    Calabarzon region is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and major natural attractions.
  • E. Ilocos Region
    Ilocos Region is an administrative region in northwestern Luzon, Philippines, known for its Ilocano-speaking population, coastal landscapes, and historic colonial architecture.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42c0ce6481909887be82c8019383 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc941075588190a9b12e2f873ba2a5 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:31 p.m.