Triple
T19220632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipal authorities of Harderwijk |
E480602
|
entity |
| Predicate | appliesToJurisdiction |
P82
|
FINISHED |
| Object | city of Harderwijk |
—
|
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: city of Harderwijk | Statement: [municipal authorities of Harderwijk, appliesToJurisdiction, city of Harderwijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Harderwijk Context triple: [municipal authorities of Harderwijk, appliesToJurisdiction, city of Harderwijk]
-
A.
Harderwijk
chosen
Harderwijk is a historic Dutch city known for its former Hanseatic trading role and scenic location on the shores of the Veluwemeer.
-
B.
Meerwijk
Meerwijk is a residential neighborhood within the town of Uithoorn in the province of North Holland, Netherlands.
-
C.
Hoorn
Hoorn is a historic port city in the Netherlands known for its role in the Dutch Golden Age and as a former base of the Dutch East India Company.
-
D.
Waalwijk
Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
-
E.
Gemeente Arnhem
Gemeente Arnhem is the municipal government of the Dutch city of Arnhem, responsible for local administration, services, and urban development.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3e8d488190a93fb743dabd0ffb |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:24 p.m.