Triple

T13980636
Position Surface form Disambiguated ID Type / Status
Subject Kamayo E336299 entity
Predicate spokenIn P2266 FINISHED
Object Lingig E956906 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: Lingig | Statement: [Kamayo, spokenIn, Lingig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lingig
Context triple: [Kamayo, spokenIn, Lingig]
  • A. Lingig chosen
    Lingig is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its fishing communities and rural landscapes.
  • B. Lingg
    Lingg is a German surname most notably associated with Louis Lingg, one of the anarchists linked to the 1886 Haymarket affair in Chicago.
  • C. Linge
    Linge is a river in the Netherlands known for flowing through the Betuwe region and its picturesque orchards and villages.
  • D. Ling
    Ling is a Chinese-origin surname shared by numerous individuals worldwide, including prominent figures in media, politics, and academia.
  • E. Lingasugur
    Lingasugur is a town in the Raichur district of Karnataka, India, known historically for its proximity to ancient sites and its location within the fertile Raichur Doab region between the Krishna and Tungabhadra rivers.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e5f2008190a0701ae37ed5219d completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.