Triple
T10768619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodsworth Residence |
E254016
|
entity |
| Predicate | housingLevel |
P95870
|
FINISHED |
| Object | primarily upper-year housing |
—
|
LITERAL 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: primarily upper-year housing | Statement: [Woodsworth Residence, housingLevel, primarily upper-year housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingLevel Context triple: [Woodsworth Residence, housingLevel, primarily upper-year housing]
-
A.
amenityLevel
Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
-
B.
roofLevel
Indicates the vertical level or story of a building at which the roof is located or begins.
-
C.
doorLevel
Indicates the security or access level required to open or pass through a particular door.
-
D.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
-
E.
buildingLevels
Indicates the number of floors or levels that a building has.
- F. None of above. chosen
Provenance (4 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322f9968819098b0ad54b913bfe4 |
completed | April 9, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:16 p.m.