Triple
T28026783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldwych tube station |
E708144
|
entity |
| Predicate | lineOperatorAtClosure |
P109321
|
FINISHED |
| Object | Piccadilly line |
—
|
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: Piccadilly line | Statement: [Aldwych tube station, lineOperatorAtClosure, Piccadilly line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineOperatorAtClosure Context triple: [Aldwych tube station, lineOperatorAtClosure, Piccadilly line]
-
A.
lineOpeningOperator
Indicates that an operator is responsible for initiating or opening a line, such as a production line, communication line, or service line.
-
B.
lineClosedUnder
Indicates that a given line is closed under a specified operation, meaning applying the operation to any elements on the line produces a result that also lies on the same line.
-
C.
postClosureOperator
Indicates that one entity functions as a closure-like operator applied after another operation or process, producing a resulting state or outcome.
-
D.
associatedLineOperator
chosen
Indicates that an entity is linked to, managed by, or otherwise connected with a specific line operator.
-
E.
lineOpeningContext
Indicates the contextual situation or circumstances present at the moment a line (e.g., of dialogue, text, or code) begins.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63c6e32588190a158f8e20946b582 |
completed | May 2, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:13 p.m.