Triple
T7780722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belsize Park tube station |
E221507
|
entity |
| Predicate | servedByNightTube |
P48928
|
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: [Belsize Park tube station, servedByNightTube, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByNightTube Context triple: [Belsize Park tube station, servedByNightTube, yes]
-
A.
servedByAtNight
Indicates that a service or location is operated, attended to, or provided specifically during nighttime hours.
-
B.
hasNightTubeServiceOn
chosen
Indicates that a transport service operates Night Tube (overnight) service on the specified day or line.
-
C.
featuresNighttimeShow
Indicates that an entity offers or includes a show or performance that takes place at night.
-
D.
lightServedBy
Indicates that a light is supplied, powered, or controlled by a particular source, circuit, or service element.
-
E.
hasTube
Indicates that one entity possesses, includes, or is equipped with a tube as a component or feature.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:20 p.m.