Triple
T19503591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land van Cuijk |
E487964
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Holthees |
—
|
NE NERFINISHED |
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: Holthees | Statement: [Land van Cuijk, containsSettlement, Holthees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holthees Context triple: [Land van Cuijk, containsSettlement, Holthees]
-
A.
Holthees
chosen
Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
-
B.
Hoefnagel
Hoefnagel is a Dutch-origin surname associated with a notable family name.
-
C.
Harste
Harste is a village and municipal district of Bovenden in Lower Saxony, Germany.
-
D.
Ehling
Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
-
E.
Hasselager
Hasselager is a residential neighborhood in the southern part of Aarhus, Denmark.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6350f8d888190a4809c83522933d4 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.