Triple

T13849224
Position Surface form Disambiguated ID Type / Status
Subject Lac des Deux Montagnes E332889 entity
Predicate borderedBy P224 FINISHED
Object Oka E411974 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: Oka | Statement: [Lac des Deux Montagnes, borderedBy, Oka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oka
Context triple: [Lac des Deux Montagnes, borderedBy, Oka]
  • A. Oka chosen
    Oka is a small municipality in southwestern Quebec, Canada, known for its historic village, Oka National Park, and the famous Oka cheese produced by Trappist monks.
  • B. Ogikubo
    Ogikubo is a residential and commercial district in western Tokyo known for its relaxed atmosphere, ramen shops, and role as a transport hub on the Chūō Line.
  • C. Ryūjō
    Ryūjō was a light aircraft carrier of the Imperial Japanese Navy that served in the early years of World War II before being sunk during the Battle of the Eastern Solomons in 1942.
  • D. Sumoto
    Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
  • E. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f35ba48190b8b071679251233f completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.