Triple

T9199826
Position Surface form Disambiguated ID Type / Status
Subject South Bay region of Los Angeles County E220807 entity
Predicate contains P35 FINISHED
Object Gardena E266618 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: Gardena | Statement: [South Bay region of Los Angeles County, contains, Gardena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gardena
Context triple: [South Bay region of Los Angeles County, contains, Gardena]
  • A. Gardena chosen
    Gardena is a small, diverse city in southwestern Los Angeles County, California, known for its suburban character and significant Japanese American community.
  • B. Gardena Ladin
    Gardena Ladin is the variety of the Ladin language traditionally spoken in the Val Gardena (Gherdëina) region of the Dolomites in northern Italy.
  • C. Passo Gardena
    Passo Gardena is a high mountain pass in Italy’s Dolomites, renowned for its dramatic alpine scenery and popularity among hikers, cyclists, and skiers.
  • D. Grunerie
    Grunerie is a residential neighborhood located in the Dutch town of Oegstgeest in South Holland.
  • E. Husqvarna
    Husqvarna is a Swedish manufacturer best known for its outdoor power products such as chainsaws, lawn mowers, and garden equipment, with historical roots in firearms and motorcycles.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd881c5d48190bbc33fac71a1d849 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c451210819091188151d799e4cb completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:25 p.m.