Triple

T3939950
Position Surface form Disambiguated ID Type / Status
Subject El Verano E92009 entity
Predicate locatedNear P294 FINISHED
Object Glen Ellen E97020 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: Glen Ellen | Statement: [El Verano, locatedNear, Glen Ellen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen Ellen
Context triple: [El Verano, locatedNear, Glen Ellen]
  • A. Glen Ellen chosen
    Glen Ellen is a small, historic wine-country village in California known for its vineyards, scenic landscapes, and association with writer Jack London.
  • B. Healdsburg, California
    Healdsburg, California is a small city in Sonoma County known for its charming downtown plaza and its central role in Northern California wine country.
  • C. Sonoma Valley
    Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
  • D. Sonoma Heights
    Sonoma Heights is a residential neighbourhood in the city of Vaughan, Ontario, known for its family-oriented community and suburban character.
  • E. Corte Madera
    Corte Madera is a small, affluent town in the San Francisco Bay Area known for its residential neighborhoods, open space preserves, and upscale shopping centers.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfc88e4819084adefb695b975c5 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5338d9a7c8190ac5960eab5ae2ada completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:24 p.m.