Triple

T7607171
Position Surface form Disambiguated ID Type / Status
Subject Palm Desert E180135 entity
Predicate locatedNear P294 FINISHED
Object La Quinta E132078 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: La Quinta | Statement: [Palm Desert, locatedNear, La Quinta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Quinta
Context triple: [Palm Desert, locatedNear, La Quinta]
  • A. La Quinta chosen
    La Quinta is a resort city in Southern California known for its golf courses, luxury hotels, and desert scenery.
  • B. Los Pinos
    Los Pinos is the former official residence and offices of the President of Mexico, located in Mexico City’s Bosque de Chapultepec.
  • C. Hacienda
    Hacienda is the commonly used Spanish name for Puerto Rico’s Department of Treasury, the government agency responsible for tax collection and fiscal management on the island.
  • D. Buena Vista
    Buena Vista is a small city in Marion County, Georgia, known as a rural community in the west-central part of the state.
  • E. Buena Vista
    Buena Vista is a brand name historically used by The Walt Disney Company for its international film distribution and related entertainment operations.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86857db14819086d5ebd825d30e77 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.