Triple

T6744925
Position Surface form Disambiguated ID Type / Status
Subject Blackhawk, California E154184 entity
Predicate hasSubdivision P747 FINISHED
Object Saddleback E558675 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: Saddleback | Statement: [Blackhawk, California, hasSubdivision, Saddleback]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saddleback
Context triple: [Blackhawk, California, hasSubdivision, Saddleback]
  • A. Saddleback chosen
    Saddleback is the distinctive double-peaked landmark in Southern California’s Santa Ana Mountains that serves as a prominent geographic and cultural reference point for the surrounding region.
  • B. Runnemede
    Runnemede is a small suburban borough in southern New Jersey, located within the Philadelphia metropolitan area.
  • C. Goode
    Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
  • D. Stavertonia
    Stavertonia is a residential annexe of University College, Oxford, providing modern accommodation and facilities for its students.
  • E. Torrey
    Torrey is a small town located in Yates County in the Finger Lakes region of New York State.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b543688190af179e0244d1ff75 completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b13c8888190980e27fae58a0494 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.