Triple
T26068473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brampton railway station |
E657472
|
entity |
| Predicate | hasWestboundPlatform |
P160327
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Brampton railway station, hasWestboundPlatform, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWestboundPlatform Context triple: [Brampton railway station, hasWestboundPlatform, yes]
-
A.
hasRailPlatforms
Indicates that an entity is equipped with one or more rail platforms used for boarding or alighting from trains.
-
B.
hasTerminusWest
Indicates that something has its western endpoint, terminus, or final stop at the referenced entity.
-
C.
hasSidePlatformCount
Indicates the number of side platforms associated with an entity, such as a station or stop.
-
D.
hasEastboundService
Indicates that a location, route, or facility is served by transportation services traveling in an eastbound direction.
-
E.
hasBusPlatforms
Indicates that a location or facility is equipped with one or more designated platforms for boarding or alighting from buses.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606c85ba88190a405a5b7c87d231d |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 7:26 p.m.