Triple
T15030041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-Centralen metro station |
E378318
|
entity |
| Predicate | hasArtworkColor |
P85337
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [T-Centralen metro station, hasArtworkColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtworkColor Context triple: [T-Centralen metro station, hasArtworkColor, blue]
-
A.
containsArtificialColor
Indicates that the subject includes at least one artificial (synthetically produced) coloring agent.
-
B.
hasSculptureColor
Indicates that a sculpture possesses or is characterized by a specific color.
-
C.
coverArtFeaturesColor
Indicates that the cover art includes or prominently displays a specific color as part of its visual design.
-
D.
containsColor
chosen
Indicates that one entity includes or exhibits the color specified by another entity.
-
E.
hasOfficialArtwork
Indicates that an entity is associated with an officially sanctioned piece of artwork representing it.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.