Triple

T12137970
Position Surface form Disambiguated ID Type / Status
Subject Columbio E289109 entity
Predicate subdivisionName2 P766 FINISHED
Object Soccsksargen E48369 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: Soccsksargen | Statement: [Columbio, subdivisionName2, Soccsksargen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soccsksargen
Context triple: [Columbio, subdivisionName2, Soccsksargen]
  • A. Soccsksargen chosen
    Soccsksargen is an administrative region in south-central Mindanao in the Philippines, known for its diverse cultures, agricultural productivity, and coastal economic centers such as General Santos City.
  • B. Soccsksargen region
    Soccsksargen is an administrative region in south-central Mindanao in the Philippines, known for its rich fisheries, agriculture, and diverse cultural communities.
  • C. Surigao del Sur
    Surigao del Sur is a coastal province in the southeastern part of Mindanao in the Philippines, known for its rugged Pacific shoreline, waterfalls, and emerging ecotourism sites.
  • D. Pangasinense
    Pangasinense is an Austronesian language spoken primarily in the province of Pangasinan in the Philippines.
  • E. Sorsogon
    Sorsogon is a province in the Bicol Region of the Philippines known for its coastal landscapes, whale shark interactions in Donsol, and rich Bikolano culture.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158dd00c819082651891898b91bb completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f6d57fc8190ac2752f6fd5decd3 completed May 3, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:49 p.m.