Triple
T17203071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deux-Montagnes |
E417527
|
entity |
| Predicate | hasNeighbouringMunicipality |
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: [Deux-Montagnes, hasNeighbouringMunicipality, Oka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oka Context triple: [Deux-Montagnes, hasNeighbouringMunicipality, 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db11fc881908291bf29cc740e09 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fdc13d88190bbf9e6d1272814d2 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.