Triple
T11288675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Marne |
E267264
|
entity |
| Predicate | hadSettlement |
P16159
|
FINISHED |
| Object | Ulrum |
E759608
|
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: Ulrum | Statement: [De Marne, hadSettlement, Ulrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulrum Context triple: [De Marne, hadSettlement, Ulrum]
-
A.
Rigmor
Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
-
B.
Ulrych
Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
-
C.
Ursem
chosen
Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
-
D.
Hyllus
Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
-
E.
Urstein
Urstein is a locality in the municipality of Puch bei Hallein in the Austrian state of Salzburg, known for hosting the Salzburg University of Applied Sciences campus.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98875a08190b8509fe55e49d52d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f48e190c8190b46d4286e2acaef1 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 8, 2026, 9:32 p.m.