Triple
T34800649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto–Montreal |
E1003208
|
entity |
| Predicate | hasPotentialForHighSpeedRailDiscussion |
P199400
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Toronto–Montreal, hasPotentialForHighSpeedRailDiscussion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPotentialForHighSpeedRailDiscussion Context triple: [Toronto–Montreal, hasPotentialForHighSpeedRailDiscussion, true]
-
A.
hasHighSpeedRailProposal
Indicates that there exists a proposed plan or project to develop or implement a high-speed rail system involving the related entities.
-
B.
hasHighSpeedRailStation
Indicates that a location is served by a high-speed rail station where high-speed trains regularly stop.
-
C.
hasHighSpeedLine
Indicates that there exists a high-speed rail line connection between the related entities.
-
D.
hasHighSpeedPotential
Indicates that an entity possesses the capability or conditions to achieve or sustain a high rate of speed, even if it is not currently doing so.
-
E.
hasMajorRailCorridor
Indicates that a location or region is traversed by a primary, high-capacity railway route used for significant passenger or freight transport.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff370698ec81909bb1596d7d4112ba |
completed | May 9, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69ff3699b6288190b564839cb05f5cf6 |
completed | May 9, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69ff3705e424819090ad7423ceefa506 |
completed | May 9, 2026, 1:30 p.m. |
Created at: May 3, 2026, 3:59 p.m.