Triple

T15807029
Position Surface form Disambiguated ID Type / Status
Subject Maria’s Beach E383244 entity
Predicate locatedIn P40 FINISHED
Object Rincón E964360 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: Rincón | Statement: [Maria’s Beach, locatedIn, Rincón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rincón
Context triple: [Maria’s Beach, locatedIn, Rincón]
  • A. Rincón chosen
    Rincón is a coastal municipality on the western tip of Puerto Rico, renowned for its surfing beaches, sunsets, and laid-back tourist atmosphere.
  • B. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • C. Rinconada
    Rinconada is a small rural municipality and town in the Los Andes Province of Chile, known for its agricultural activities and Andean foothill landscapes.
  • D. Rinconada
    Rinconada is a Bikol language variety spoken in the Bicol Region of the Philippines, particularly around the Rinconada district of Camarines Sur.
  • E. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52751348190964e82463ce9dd20 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998fa5588190b28efc2f342405aa completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.