Triple

T22424654
Position Surface form Disambiguated ID Type / Status
Subject Caroni Swamp E554337 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Caroni County NE NERFINISHED

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: Caroni County | Statement: [Caroni Swamp, locatedInAdministrativeEntity, Caroni County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroni County
Context triple: [Caroni Swamp, locatedInAdministrativeEntity, Caroni County]
  • A. Caroni County chosen
    Caroni County was a former administrative region in central Trinidad, Trinidad and Tobago, historically known for its sugar cane plantations and diverse Indo-Trinidadian communities.
  • B. Castro County
    Castro County is a rural county in the Texas Panhandle known for its agriculture-based economy and small communities.
  • C. Bahmai County
    Bahmai County is an administrative division in southwestern Iran known for its mountainous terrain and rural communities.
  • D. Margibi County
    Margibi County is an administrative region in central Liberia known for its agricultural activities and proximity to the capital, Monrovia.
  • E. Vaifanua County
    Vaifanua County is an administrative division in American Samoa that encompasses the village of Vatia and surrounding areas on the island of Tutuila.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2c47bc81908b8265d83fa6fb65 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.