Triple
T37886558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Gelbe Wand |
E945008
|
entity |
| Predicate | typicalMatchDayFeature |
P44508
|
FINISHED |
| Object | pre-match choreographies |
—
|
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: pre-match choreographies | Statement: [Die Gelbe Wand, typicalMatchDayFeature, pre-match choreographies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMatchDayFeature Context triple: [Die Gelbe Wand, typicalMatchDayFeature, pre-match choreographies]
-
A.
typicalMatchDay
Indicates that the relationship or conditions described correspond to what normally happens on a standard or usual match day.
-
B.
matchdayElement
Indicates a relationship where an element (such as a game, event, or component) is part of or associated with a specific matchday.
-
C.
featuredMatchType
Indicates the specific category or kind of match that is highlighted or given special prominence.
-
D.
matchdayActivity
chosen
Indicates the specific activity, event, or engagement that takes place in connection with a particular match day.
-
E.
mostCommonMatchDay
Indicates the day of the week on which matches most frequently occur for a given set of matches or competition.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.