Triple

T11880278
Position Surface form Disambiguated ID Type / Status
Subject Pomeroon E282639 entity
Predicate neighboringRegion P17964 FINISHED
Object Demerara E154268 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: Demerara | Statement: [Pomeroon, neighboringRegion, Demerara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Demerara
Context triple: [Pomeroon, neighboringRegion, Demerara]
  • A. Demerara chosen
    Demerara was a former Dutch and later British colony on the northern coast of South America, in the area that is now part of Guyana.
  • B. Bayaguana
    Bayaguana is a historic town and municipality in the Monte Plata province of the Dominican Republic, known for its religious traditions and rural agricultural character.
  • C. Samaná
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • D. Darien
    Darien is a coastal town in Fairfield County, Connecticut, known for its affluent residential character and location along Long Island Sound.
  • E. Demer
    Demer is a river in Belgium that flows through the provinces of Limburg and Flemish Brabant before joining the Dijle.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281e6f8888190bc8495b1261a86df completed April 29, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:44 p.m.