Triple
T10608377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTZ |
E275936
|
entity |
| Predicate | languageOfName |
P15
|
FINISHED |
| Object | Dutch |
E2096
|
NE 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: Dutch | Statement: [UTZ, languageOfName, Dutch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dutch Context triple: [UTZ, languageOfName, Dutch]
-
A.
Dutch
chosen
Dutch is a West Germanic language spoken primarily in the Netherlands and Belgium, serving as the basis for several regional and colonial varieties such as Flemish and Afrikaans.
-
B.
Nederlander
Nederlander is a prominent American theatrical family name best known for its multigenerational ownership and operation of major Broadway and live-entertainment venues.
-
C.
Dutch Wikipedia
Dutch Wikipedia is the Dutch-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
D.
Zeelandic
Zeelandic is a West Flemish–related regional language variety spoken in the Dutch province of Zeeland, known for its distinct phonology and vocabulary compared to standard Dutch.
-
E.
Dutch Wiktionary
Dutch Wiktionary is the Dutch-language edition of Wiktionary, a collaborative online dictionary and lexical resource maintained by volunteers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ebe539881908aeff1cd65cf925f |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:32 p.m.