Triple

T14090167
Position Surface form Disambiguated ID Type / Status
Subject Cotabato E339106 entity
Predicate locatedInRegion P40 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: [Cotabato, locatedInRegion, Soccsksargen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soccsksargen
Context triple: [Cotabato, locatedInRegion, 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a7aab88190949cf1fd8e11b050 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.