Triple
T5568648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timor deer |
E145941
|
entity |
| Predicate | describedBy |
P264
|
FINISHED |
| Object | Blainville |
E238268
|
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: Blainville | Statement: [Timor deer, describedBy, Blainville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blainville Context triple: [Timor deer, describedBy, Blainville]
-
A.
Blainville
chosen
Blainville is a suburban town in southwestern Quebec, Canada, known for its residential communities and proximity to the Greater Montreal area.
-
B.
Limoilou
Limoilou is a primarily residential neighborhood in Quebec City, Canada, known for its dense urban fabric, vibrant local commerce, and historic working-class character.
-
C.
Senneville
Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
-
D.
Saint-Constant
Saint-Constant is a suburban city located on the South Shore of Montreal in the province of Quebec, Canada.
-
E.
Chambly
Chambly is a city in southwestern Quebec, Canada, known for its historic Fort Chambly and location along the Richelieu River.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203789688190a0bab723186214ad |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d177d18819090018371d22c66a3 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:36 p.m.