Triple
T27519417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Erzgebirge Aue |
E694663
|
entity |
| Predicate | hasAwayKitPattern |
P163924
|
FINISHED |
| Object | lighter or contrasting colors |
—
|
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: lighter or contrasting colors | Statement: [FC Erzgebirge Aue, hasAwayKitPattern, lighter or contrasting colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwayKitPattern Context triple: [FC Erzgebirge Aue, hasAwayKitPattern, lighter or contrasting colors]
-
A.
hasAwayKitType
Indicates that an entity is associated with a specific type or style of away kit (e.g., for a sports team).
-
B.
hasHomeJerseyColor
Indicates that an entity’s home jersey is characterized by a specified color.
-
C.
hasHomeUniformTrimColor
Indicates that an entity’s home uniform features a specified trim or accent color.
-
D.
hasJerseyColor
Indicates that an entity’s jersey possesses or is characterized by a specific color.
-
E.
awayUniformColorPrimary
Indicates the primary color used for an entity’s away (non-home) uniform.
- F. None of above. chosen
Provenance (4 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 1:20 p.m.