Triple

T12304253
Position Surface form Disambiguated ID Type / Status
Subject Pentland Hills E293312 entity
Predicate hasHighestPoint P210 FINISHED
Object Scald Law E631357 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: Scald Law | Statement: [Pentland Hills, hasHighestPoint, Scald Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scald Law
Context triple: [Pentland Hills, hasHighestPoint, Scald Law]
  • A. Scald Law chosen
    Scald Law is a prominent hill in the Pentland Hills range near Edinburgh, Scotland, popular with walkers for its panoramic views over the surrounding landscape.
  • B. Burns
    Burns is an electronic music producer and DJ known for his work in dance and pop music, including collaborations with major artists.
  • C. Burns
    Burns is a common Scottish surname most famously associated with the poet Robert Burns.
  • D. Gulathing law
    The Gulathing law was one of medieval Norway’s oldest and most important regional law codes, governing legal, social, and economic matters in western Norway.
  • E. Frostathing law
    Frostathing law was one of medieval Norway’s regional law codes, governing legal, social, and fiscal matters in the Frostathing jurisdiction.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edca2648190987eef19599e340c completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7f8fd08190bdef3bb761d53f97 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.