Triple

T14763585
Position Surface form Disambiguated ID Type / Status
Subject Steps Beach E346934 entity
Predicate hasNearbyTown P3883 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: [Steps Beach, hasNearbyTown, Rincón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rincón
Context triple: [Steps Beach, hasNearbyTown, 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. Rinconada
    Rinconada is a Bikol language variety spoken in the Bicol Region of the Philippines, particularly around the Rinconada district of Camarines Sur.
  • 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. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Yoncalla
    Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f3a1608190b1b17624003a0c7f completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388aeb9c819099a987a819959479 completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:30 a.m.