Triple

T6736717
Position Surface form Disambiguated ID Type / Status
Subject Outremont E153772 entity
Predicate borderedBy P224 FINISHED
Object Mount Royal 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: Mount Royal | Statement: [Outremont, borderedBy, Mount Royal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Royal
Context triple: [Outremont, borderedBy, Mount Royal]
  • 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. 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.
  • C. 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.
  • D. Ahuntsic
    Ahuntsic is a residential neighbourhood in northern Montreal, Quebec, known for its riverside parks, quiet streets, and mix of historic and modern urban character.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18369d88190a73349075462202b completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a749d4c81908c9b2d4cf1e0f606 completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 2:09 p.m.