Triple
T22615828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Heusden |
E558142
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hedikhuizen |
—
|
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: Hedikhuizen | Statement: [municipality of Heusden, contains, Hedikhuizen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hedikhuizen Context triple: [municipality of Heusden, contains, Hedikhuizen]
-
A.
Hedikhuizen
chosen
Hedikhuizen is a small village in the Dutch province of North Brabant, known for its historic rural character and location near the River Maas.
-
B.
Uithuizen
Uithuizen is a village in the Dutch province of Groningen known for its historic Menkemaborg manor and role as an administrative and service center for the surrounding rural area.
-
C.
Zandhuizen
Zandhuizen is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
-
D.
Hornhuizen
Hornhuizen is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
-
E.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167edec2481909c2f06607b3cb8f6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:59 p.m.