Triple
T11781859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muenster, Texas |
E280165
|
entity |
| Predicate | GermanfestType |
P9865
|
FINISHED |
| Object | German heritage festival |
—
|
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: German heritage festival | Statement: [Muenster, Texas, GermanfestType, German heritage festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GermanfestType Context triple: [Muenster, Texas, GermanfestType, German heritage festival]
-
A.
legtFest
Indicates that one entity determines, defines, or sets rules, conditions, or parameters that are binding for another entity or situation.
-
B.
feastType
chosen
Indicates the specific kind or category of feast associated with an event or occasion.
-
C.
federalStateOfGermany
Indicates that one entity is a federal state (Bundesland) that is a constituent state within the country of Germany.
-
D.
GermanEditionURL
Indicates the URL where the German-language edition or version of an item can be accessed.
-
E.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.