Triple

T1559516
Position Surface form Disambiguated ID Type / Status
Subject Mount Royal E33286 entity
Predicate hasPart P35 FINISHED
Object Outremont Summit E33286 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: Outremont Summit | Statement: [Mount Royal, hasPart, Outremont Summit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outremont Summit
Context triple: [Mount Royal, hasPart, Outremont Summit]
  • A. Mount Royal chosen
    Mount Royal is a prominent hill and urban park in the heart of Montreal, known as a central natural landmark and namesake of the city.
  • B. Crêt de la Neige
    Crêt de la Neige is a prominent peak in eastern France known as the highest summit of the Jura mountain range.
  • C. Mount Royal Range
    Mount Royal Range is a rugged mountain range in New South Wales, Australia, forming part of the Great Dividing Range and known for its protected forests and biodiversity.
  • D. Plateau-Mont-Royal
    Plateau-Mont-Royal is a densely populated, trendy borough of Montreal known for its vibrant arts scene, colorful row houses, and lively cafés and nightlife.
  • E. Mount Catherine
    Mount Catherine is the highest mountain in Egypt, located in the southern Sinai Peninsula and known for its rugged terrain and religious significance.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa621102cc81909c5b777a105fc91c completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401e12088190b6f0f5b0d8a423cf completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:27 p.m.