Triple

T18548656
Position Surface form Disambiguated ID Type / Status
Subject Mount Solitary E453306 entity
Predicate accessPoint P1985 FINISHED
Object Federal Pass NE NERFINISHED

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: Federal Pass | Statement: [Mount Solitary, accessPoint, Federal Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Federal Pass
Context triple: [Mount Solitary, accessPoint, Federal Pass]
  • A. Federal Pass chosen
    Federal Pass is a popular walking track in the Blue Mountains of New South Wales, Australia, known for traversing the base of the Jamison Valley beneath the region’s famous cliff lines and lookouts.
  • B. Federal Supplement
    The Federal Supplement is a series of law reports that publishes selected written opinions of the United States federal district courts.
  • C. Federal B Area
    Federal B Area is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned layout and numerous markets and community facilities.
  • D. Feder
    Feder is a German surname most notably associated with Gottfried Feder, an early economic theorist of the Nazi Party.
  • E. The Feds
    The Feds is a 1988 Australian television miniseries about a team of federal police officers, co-written by and featuring costume designer and screenwriter Lizzy Gardiner.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534be2298819095f637065fc2724e completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.