Triple
T23345417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoo tram stop |
E591844
|
entity |
| Predicate | isWithinTransportAuthority |
P7691
|
FINISHED |
| Object | Zürcher Verkehrsverbund |
—
|
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: Zürcher Verkehrsverbund | Statement: [Zoo tram stop, isWithinTransportAuthority, Zürcher Verkehrsverbund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinTransportAuthority Context triple: [Zoo tram stop, isWithinTransportAuthority, Zürcher Verkehrsverbund]
-
A.
hasTransportAuthority
chosen
Indicates that one entity holds official power or responsibility to manage, regulate, or oversee transportation services or infrastructure for another entity or area.
-
B.
isWithinLondonFareSystem
Indicates that an entity (such as a station, stop, or route) is located inside the area covered by the London public transport fare system.
-
C.
isWithinFareSystem
Indicates that one transportation service, route, or area operates under and is covered by a specified fare or ticketing system.
-
D.
locatedInTransportArea
Indicates that an entity is situated within a designated transport-related area or zone.
-
E.
isInTransportNetwork
Indicates that an entity is part of, connected to, or contained within a specific transport network or system.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983697408190b31817174ed4e77b |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:19 p.m.