Triple
T24629013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldham and Rochdale Line |
E609618
|
entity |
| Predicate | connectsAtInterchange |
P21403
|
FINISHED |
| Object | Manchester Victoria tram stop |
—
|
NE NERFINISHED |
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: Manchester Victoria tram stop | Statement: [Oldham and Rochdale Line, connectsAtInterchange, Manchester Victoria tram stop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsAtInterchange Context triple: [Oldham and Rochdale Line, connectsAtInterchange, Manchester Victoria tram stop]
-
A.
hasInterchangeStationWith
Indicates that two transportation lines, routes, or systems share a station where passengers can transfer between them.
-
B.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
-
C.
hasNearbyInterchange
Indicates that one location has a transportation interchange (such as a junction or transfer point) situated close to it.
-
D.
connectsAtStation
chosen
Indicates that one transportation service or route links to another at a specific station, allowing passengers to transfer between them there.
-
E.
connectsToBusAt
Indicates that one entity has an access or transfer point where it links to a bus service at a specific location or stop.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.