Triple
T2866182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piccadilly Circus Underground station |
E63442
|
entity |
| Predicate | hasBakerlooPlatformsBetween |
P42813
|
FINISHED |
| Object | Charing Cross and Oxford Circus |
—
|
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: Charing Cross and Oxford Circus | Statement: [Piccadilly Circus Underground station, hasBakerlooPlatformsBetween, Charing Cross and Oxford Circus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBakerlooPlatformsBetween Context triple: [Piccadilly Circus Underground station, hasBakerlooPlatformsBetween, Charing Cross and Oxford Circus]
-
A.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
B.
adjacentStationOnVictoriaLine
Indicates that one station is directly next to another station along the Victoria Line, with no other stations in between.
-
C.
isTransportHubBetween
Indicates that a location functions as a central node facilitating transportation connections between two or more other places.
-
D.
headway
Indicates the temporal or spatial separation maintained between moving entities, such as vehicles or trains, as they travel along the same route.
-
E.
commutesBetween
Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfbb7ed4819096ca65391077e2af |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:02 p.m.