Triple
T16387764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U4 line |
E397966
|
entity |
| Predicate | hasInterchangeWithLine |
P73851
|
FINISHED |
| Object | U1 line |
—
|
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: U1 line | Statement: [U4 line, hasInterchangeWithLine, U1 line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterchangeWithLine Context triple: [U4 line, hasInterchangeWithLine, U1 line]
-
A.
hasInteroperableLines
Indicates that two or more systems, networks, or components can operate together seamlessly, exchanging and using each other’s outputs without special adaptation.
-
B.
interchangeWithLine
Indicates that one entity can be transferred or switched to another specific line, such as a route, track, or service line, at a given point.
-
C.
hasInterchangesWith
chosen
Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
-
D.
isInterchangeWith
Indicates that two entities can be substituted or exchanged for one another without loss of function, value, or compatibility.
-
E.
isInterchangeBetween
Indicates a relationship where something serves as a point or medium through which two or more entities can exchange or transfer items, information, or traffic between each other.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.