Triple

T11852115
Position Surface form Disambiguated ID Type / Status
Subject Antipas E281932 entity
Predicate locatedIn P40 FINISHED
Object Socsksargen E948912 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: Socsksargen | Statement: [Antipas, locatedIn, Socsksargen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socsksargen
Context triple: [Antipas, locatedIn, Socsksargen]
  • A. Socsksargen chosen
    Socsksargen is an administrative region in the southern Philippines on the island of Mindanao, known for its agricultural production, fishing industry, and the highly urbanized city of General Santos.
  • B. Soccskargen
    Soccskargen is an administrative region in the southern Philippines on the island of Mindanao, known for its fishing industry, agricultural production, and diverse cultural communities.
  • C. Sakias
    Sakias is a child of the German singer and actress Nena, known for her hit song "99 Luftballons."
  • D. Sabo
    Sabo is a surname most notably associated with Chris Sabo, a former Major League Baseball third baseman for the Cincinnati Reds.
  • E. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41798b5888190b615d4e23fe3d55e completed May 1, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:43 p.m.