Triple
T33732501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münster im Elsass |
E864308
|
entity |
| Predicate | hatDoppelsprachigeTradition |
P51529
|
FINISHED |
| Object | ja |
—
|
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: ja | Statement: [Münster im Elsass, hatDoppelsprachigeTradition, ja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hatDoppelsprachigeTradition Context triple: [Münster im Elsass, hatDoppelsprachigeTradition, ja]
-
A.
dualHatTradition
Indicates a tradition in which participants customarily wear or use two distinct hats as part of a ritual, role, or practice.
-
B.
hasSecondaryLanguageTradition
chosen
Indicates that an entity possesses an additional, non-primary language tradition associated with it, such as in its use, documentation, or cultural context.
-
C.
hasTraditionalDialect
Indicates that an entity possesses or is associated with a traditional form or variety of a language or dialect.
-
D.
hasMulticulturalTradition
Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
-
E.
languageTraditions
Indicates that there is a relationship between entities involving the customs, practices, and conventions associated with the use, preservation, or transmission of a particular language.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb1fcda08190a503098914ba09ab |
completed | May 3, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.