Triple
T5522414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn |
E144841
|
entity |
| Predicate | primaryColorCoding |
P24916
|
FINISHED |
| Object | yellow line symbols with U prefix |
—
|
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: yellow line symbols with U prefix | Statement: [Berlin U-Bahn, primaryColorCoding, yellow line symbols with U prefix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryColorCoding Context triple: [Berlin U-Bahn, primaryColorCoding, yellow line symbols with U prefix]
-
A.
primaryColorPalette
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
B.
primaryColour
chosen
Indicates that one entity is the main or dominant color characteristic of another entity.
-
C.
primaryWavelength
Indicates the main or dominant wavelength associated with an entity, such as the principal wavelength at which it emits, reflects, or operates.
-
D.
primaryPigment
Indicates that one pigment is the main or dominant colorant used or present in relation to another entity.
-
E.
primaryStyle
Indicates the main or predominant style associated with an entity, distinguishing it from other secondary or supporting styles.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f73cc8c8190a92a839c1ca804c7 |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.