Triple
T11781864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muenster, Texas |
E280165
|
entity |
| Predicate | GermanfestFrequency |
P78772
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [Muenster, Texas, GermanfestFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GermanfestFrequency Context triple: [Muenster, Texas, GermanfestFrequency, annual]
-
A.
FrundsbergfestFrequency
Indicates how often the Frundsbergfest event takes place within a given time period.
-
B.
timePeriodAsGermanCity
Indicates that a specified time period corresponds to the duration during which an entity held the status of a German city.
-
C.
hasFestivalFrequency
chosen
Indicates how often a festival or recurring celebratory event takes place within a given time period.
-
D.
frequencyInHungary
Indicates how often something occurs or is present within the context of Hungary.
-
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.