Triple
T458478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 Scarborough |
E7282
|
entity |
| Predicate | connectsDistrict |
P2564
|
FINISHED |
| Object | Scarborough to broader subway network |
—
|
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: Scarborough to broader subway network | Statement: [Line 3 Scarborough, connectsDistrict, Scarborough to broader subway network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsDistrict Context triple: [Line 3 Scarborough, connectsDistrict, Scarborough to broader subway network]
-
A.
connectsCity
Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
-
B.
connectsArea
chosen
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
-
C.
connectsCommunity
Indicates a relationship where an entity links or brings together members or groups within a community, fostering interaction or cohesion among them.
-
D.
numberOfDistricts
Indicates the total count of districts associated with a given entity or area.
-
E.
linkedCity
Indicates that two entities are associated with each other through a specific city, such as being located in, connected via, or related by that city.
- F. None of above.
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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa3163081909acff040a22bd559 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.