Triple

T7066509
Position Surface form Disambiguated ID Type / Status
Subject Cairn Toul E164365 entity
Predicate rankingInBritishIslesByHeight P74817 FINISHED
Object fourth-highest mountain in the British Isles LITERAL 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: fourth-highest mountain in the British Isles | Statement: [Cairn Toul, rankingInBritishIslesByHeight, fourth-highest mountain in the British Isles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingInBritishIslesByHeight
Context triple: [Cairn Toul, rankingInBritishIslesByHeight, fourth-highest mountain in the British Isles]
  • A. rankingInEnglandByHeight
    Indicates the relative position of an entity in an ordered list based on its height specifically within the context of England.
  • B. higherEnglishPeaks
    Indicates that one entity has English peaks that are higher than those of another entity.
  • C. rankInBritishIslesByArea
    Indicates the position of an entity in an ordered list of areas specifically within the British Isles, based on its size relative to others.
  • D. rankByHeightWorld
    Indicates an ordering of entities based on their relative height compared to all others in the world.
  • E. formerRankInUKByHeight
    Indicates that an entity previously held a specific rank in the United Kingdom when entities are ordered by height.
  • F. None of above. chosen

Provenance (4 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a4e7188190aef123ff1a2aa473 completed March 27, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69c6e1bdc1f08190975fcdbbb1854d1e completed March 27, 2026, 7:59 p.m.
PDg Predicate description generation batch_69c6e4a15b088190bee9a23e94aaac53 completed March 27, 2026, 8:12 p.m.
Created at: March 27, 2026, 2:39 p.m.