Triple

T11932956
Position Surface form Disambiguated ID Type / Status
Subject Simi Valley, California E283959 entity
Predicate borderedBy P224 FINISHED
Object Simi Hills E316143 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: Simi Hills | Statement: [Simi Valley, California, borderedBy, Simi Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simi Hills
Context triple: [Simi Valley, California, borderedBy, Simi Hills]
  • A. Simi Hills chosen
    Simi Hills is a low, rugged mountain range in Southern California known for its chaparral-covered slopes, scenic open space, and role as a natural corridor between the Santa Monica and Santa Susana Mountains.
  • B. Simi Valley
    Simi Valley is a suburban city in Southern California known for its scenic hills, residential communities, and as the site of the Ronald Reagan Presidential Library.
  • C. Simi Town
    Simi Town is the main urban center and administrative hub of the Simi area.
  • D. Margonda Raya
    Margonda Raya is a main commercial and transportation artery in Depok, Indonesia, lined with shops, malls, campuses, and dense urban activity.
  • E. Dum Dum
    Dum Dum is a suburban city near Kolkata in eastern India, known for housing the Netaji Subhas Chandra Bose International Airport and having a significant role in the region’s transport and industry.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458a576fc8190b68b27365cd53caf completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.