Triple
T33996707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hospital de Bellvitge station |
E871689
|
entity |
| Predicate | hasColorOfLine |
P34402
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Hospital de Bellvitge station, hasColorOfLine, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOfLine Context triple: [Hospital de Bellvitge station, hasColorOfLine, red]
-
A.
isColorCodedLine
Indicates that a line is represented or distinguished using specific colors according to a coding scheme.
-
B.
usesLineColour
Indicates that one entity employs or is associated with the line color defined or provided by another entity.
-
C.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
D.
hasLineStyle
Indicates that one entity is associated with or uses a particular style or pattern of line representation in relation to another entity.
-
E.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:50 a.m.