Triple
T24137624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnos Grove tube station |
E598131
|
entity |
| Predicate | ticketHallShape |
P104406
|
FINISHED |
| Object | cylindrical |
—
|
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: cylindrical | Statement: [Arnos Grove tube station, ticketHallShape, cylindrical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ticketHallShape Context triple: [Arnos Grove tube station, ticketHallShape, cylindrical]
-
A.
shapeOfOriginalAuditorium
Indicates the geometric form or layout that characterized the auditorium in its original design or construction.
-
B.
hasTicketHallDesign
chosen
Indicates that an entity possesses or is characterized by a particular design or layout of its ticket hall.
-
C.
typeOfHall
Indicates the specific category or kind to which a particular hall belongs (e.g., lecture hall, dining hall, concert hall).
-
D.
auditoriumType
Indicates the specific kind or category of auditorium associated with an entity.
-
E.
entranceShape
Indicates the geometric form or outline that characterizes an entrance.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7e3c20819099ff289789829d7e |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:27 p.m.