Triple

T6677127
Position Surface form Disambiguated ID Type / Status
Subject Claro River E151880 entity
Predicate hasNameInSpanish P12773 FINISHED
Object Río Claro E529660 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: Río Claro | Statement: [Claro River, hasNameInSpanish, Río Claro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Claro
Context triple: [Claro River, hasNameInSpanish, Río Claro]
  • A. Río Claro chosen
    Río Claro is a rural Chilean municipality in Talca Province, known for its agricultural activities and small-town communities in the Maule Region.
  • B. Álamos
    Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
  • C. Sabinas
    Sabinas is a municipality and city in the northern Mexican state of Coahuila, known historically for its coal mining and regional agricultural activities.
  • D. San Sabino
    San Sabino is a Christian saint venerated as the patron of Canosa di Puglia in southern Italy, traditionally honored for his role as a local bishop and protector of the city.
  • E. San Antonio de los Baños
    San Antonio de los Baños is a Cuban town known for its film school and cultural traditions, located southwest of Havana.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f4184481908869354addf4f8c4 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a57bd88190a423ff7d2139aa51 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.