Triple

T12910908
Position Surface form Disambiguated ID Type / Status
Subject Pedro Carbo E308860 entity
Predicate borderingCanton P224 FINISHED
Object Daule E250931 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: Daule | Statement: [Pedro Carbo, borderingCanton, Daule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daule
Context triple: [Pedro Carbo, borderingCanton, Daule]
  • A. Daule chosen
    Daule is a town and canton in coastal Ecuador known for its rice production and location within the Guayas Province.
  • B. Daudin
    Daudin is a French surname most notably associated with François Marie Daudin, an 18th-century zoologist and herpetologist.
  • C. Daoulas
    Daoulas is a small coastal commune in the Finistère department of Brittany in northwestern France, known for its historic abbey and scenic setting near the Rade de Brest.
  • D. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • E. Tagau Pashayi
    Tagau Pashayi is a specific variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56b50b48190a0deefd491ed8c4a completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.