Triple
T25823575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tag der Europa |
E650463
|
entity |
| Predicate | wirdGefiertAls |
P159317
|
FINISHED |
| Object | Feier der Einheit Europas |
—
|
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: Feier der Einheit Europas | Statement: [Tag der Europa, wirdGefiertAls, Feier der Einheit Europas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wirdGefiertAls Context triple: [Tag der Europa, wirdGefiertAls, Feier der Einheit Europas]
-
A.
typicallyServedAs
Indicates that something is most commonly presented, used, or offered in a particular role, form, or function.
-
B.
isTypicallyServedFor
Indicates that one item is most commonly or customarily served as a meal or course for the other (e.g., a dish typically served for breakfast, lunch, or dinner).
-
C.
destinedFor
Indicates that one entity is intended, assigned, or meant to be used for, received by, or directed toward another entity or purpose.
-
D.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
-
E.
WurstmarktType
Indicates that an entity is classified as a specific type or category within the Wurstmarkt event or festival.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60192afc881908dd64d8024d75329 |
completed | May 2, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 7:31 a.m.