Triple
T16157872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roddick Gates |
E392093
|
entity |
| Predicate | near |
P350
|
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: [Roddick Gates, near, Mount Royal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Royal Context triple: [Roddick Gates, near, 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.
Mont Saint-Bruno
Mont Saint-Bruno is a small, isolated mountain in southwestern Quebec, Canada, known for its provincial park, forested trails, and proximity to Montreal.
-
E.
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.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5b57a48190b6fe21f1c63e1ba3 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffef4f96c8190aec3e1411c1d9471 |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:01 a.m.