Triple

T13447133
Position Surface form Disambiguated ID Type / Status
Subject Wadadli E320511 entity
Predicate hasIndigenousPeople P194 FINISHED
Object Kalinago E618486 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: Kalinago | Statement: [Wadadli, hasIndigenousPeople, Kalinago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalinago
Context triple: [Wadadli, hasIndigenousPeople, Kalinago]
  • A. Kalinago chosen
    The Kalinago are an Indigenous Carib-speaking people of the Lesser Antilles and nearby mainland South America, historically known as skilled seafarers and fierce resistors of European colonization.
  • B. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • C. Tayasal
    Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
  • D. Nakina
    Nakina is a small remote community in northern Ontario, Canada, historically known as a railway and forestry hub and a gateway to wilderness tourism and fishing.
  • E. El Cayaco
    El Cayaco is a locality within the coastal region of Acapulco in the Mexican state of Guerrero.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73998221c8190a2d8982a3da28ec9 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.