Triple

T15983953
Position Surface form Disambiguated ID Type / Status
Subject Guagua E387643 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Kapampangan region E83192 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: Kapampangan region | Statement: [Guagua, hasCulturalRegion, Kapampangan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapampangan region
Context triple: [Guagua, hasCulturalRegion, Kapampangan region]
  • A. 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.
  • B. Pampanga chosen
    Pampanga is a province in the Central Luzon region of the Philippines, known for its rich culinary heritage, vibrant festivals, and significant role in the country’s history and culture.
  • C. Mimaropa
    Mimaropa is an administrative region in the Philippines composed of island provinces in the southwestern part of Luzon.
  • D. Soccsksargen region
    Soccsksargen is an administrative region in south-central Mindanao in the Philippines, known for its rich fisheries, agriculture, and diverse cultural communities.
  • E. 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.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15756d6488190ac35da00e96ce21d completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f7f439c8190b4bcd84e35aa291e completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 4:54 a.m.