Triple
T17573001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brossard |
E427984
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Secteur R
Secteur R is a residential neighborhood in the city of Brossard, Quebec, known for its suburban character and proximity to Greater Montreal.
|
E1277351
|
NE FINISHED |
How this triple was built (4 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: Secteur R | Statement: [Brossard, hasNeighbourhood, Secteur R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Secteur R Context triple: [Brossard, hasNeighbourhood, Secteur R]
-
A.
Sector 2
Sector 2 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential, commercial, and cultural areas in the northeastern part of the city.
-
B.
Sector 7
Sector 7 is a residential and commercial neighborhood within the North Karachi area of Karachi, Pakistan.
-
C.
U-Sector
U-Sector is an independent supporters’ group known for its passionate backing of Major League Soccer club Toronto FC.
-
D.
Nenguanje sector
Nenguanje sector is a coastal area within Colombia’s Tayrona National Natural Park, known for its beaches, natural scenery, and access to nearby ecotourism sites.
-
E.
Sector 3
Sector 3 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential, commercial, and historical areas in the eastern part of the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Secteur R Triple: [Brossard, hasNeighbourhood, Secteur R]
Generated description
Secteur R is a residential neighborhood in the city of Brossard, Quebec, known for its suburban character and proximity to Greater Montreal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Secteur R Target entity description: Secteur R is a residential neighborhood in the city of Brossard, Quebec, known for its suburban character and proximity to Greater Montreal.
-
A.
Sector 2
Sector 2 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential, commercial, and cultural areas in the northeastern part of the city.
-
B.
Sector 7
Sector 7 is a residential and commercial neighborhood within the North Karachi area of Karachi, Pakistan.
-
C.
U-Sector
U-Sector is an independent supporters’ group known for its passionate backing of Major League Soccer club Toronto FC.
-
D.
Nenguanje sector
Nenguanje sector is a coastal area within Colombia’s Tayrona National Natural Park, known for its beaches, natural scenery, and access to nearby ecotourism sites.
-
E.
Sector 3
Sector 3 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential, commercial, and historical areas in the eastern part of the city.
- F. None of above. chosen
Provenance (5 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e459330c788190907a02fc98e0e24b |
completed | April 19, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01dde81264819097f7cb7448842eac |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01e246a9c48190b5b728ffb385de31 |
completed | May 11, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e2d0b7748190b9a179001e7dab94 |
completed | May 11, 2026, 2:08 p.m. |
Created at: April 10, 2026, 5:50 a.m.