Triple
T32695315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mile-Ex |
E835989
|
entity |
| Predicate | streetGridRoughlyBoundedBy |
P174803
|
FINISHED |
| Object |
Avenue du Parc
Avenue du Parc is a major north–south thoroughfare in Montreal, Canada, known for connecting downtown to residential neighborhoods and bordering Mount Royal Park.
|
E2297218
|
NE FINISHED |
How this triple was built (3 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: Avenue du Parc | Statement: [Mile-Ex, streetGridRoughlyBoundedBy, Avenue du Parc]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Avenue du Parc Triple: [Mile-Ex, streetGridRoughlyBoundedBy, Avenue du Parc]
Generated description
Avenue du Parc is a major north–south thoroughfare in Montreal, Canada, known for connecting downtown to residential neighborhoods and bordering Mount Royal Park.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetGridRoughlyBoundedBy Context triple: [Mile-Ex, streetGridRoughlyBoundedBy, Avenue du Parc]
-
A.
streetGridRange
Indicates the span or extent of a street segment within a defined grid or block range in a street network.
-
B.
streetGridExtendedFrom
Indicates that one street grid layout continues or expands outward from another street grid as its extension.
-
C.
locatedBetweenStreets
Indicates that something is situated between two specified streets, with its position bounded or defined by those streets.
-
D.
citySquareBordered
Indicates that a city square is directly bordered or enclosed along its edges by another spatial feature or area.
-
E.
avenueBoundaryEast
Indicates that something serves as the eastern boundary or edge of an avenue.
- F. None of above. chosen
Provenance (7 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_69f3493323288190a4e88251035fe96e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c81cd47c8190b3b8d476327688b8 |
completed | May 3, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a8330ef62888190ba2411179176a217 |
completed | Aug. 17, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_6a833148e33c819095f9c2d2576e3d50 |
completed | Aug. 17, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a83319ae3b881908a7b3cbf00f1c6f7 |
completed | Aug. 17, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:10 a.m.