Triple

T15748793
Position Surface form Disambiguated ID Type / Status
Subject SPRINTER E381791 entity
Predicate operatesBetween P8685 FINISHED
Object Escondido E40999 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: Escondido | Statement: [SPRINTER, operatesBetween, Escondido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Escondido
Context triple: [SPRINTER, operatesBetween, Escondido]
  • A. Escondido chosen
    Escondido is a city in northern San Diego County, California, known as one of the region’s older inland communities with a mix of suburban neighborhoods, agriculture, and historic downtown areas.
  • B. El Cajon
    El Cajon is a suburban city in Southern California’s East County region, located just east of San Diego.
  • C. Hemet
    Hemet is a city in Southern California known for its retirement communities, proximity to the San Jacinto Mountains, and the annual Ramona Pageant, one of the longest-running outdoor plays in the United States.
  • D. Cathedral City
    Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
  • E. Fontana
    Fontana was a British paperback imprint of HarperCollins known for publishing popular fiction and non-fiction titles in the 20th century.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7c2a6081908e957d39ec056062 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:46 a.m.