Triple
T20631692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eembrugge |
E506970
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Utrecht (province) |
—
|
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: Utrecht (province) | Statement: [Eembrugge, locatedIn, Utrecht (province)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utrecht (province) Context triple: [Eembrugge, locatedIn, Utrecht (province)]
-
A.
Utrecht region
The Utrecht region is a central area of the Netherlands known for its historic cities, castles, and green landscapes surrounding the city of Utrecht.
-
B.
Province of Utrecht
chosen
The Province of Utrecht is a centrally located region in the Netherlands known for its historic capital city Utrecht, dense population, and role as a key cultural, economic, and transportation hub.
-
C.
Utrecht Terwijde
Utrecht Terwijde is a suburban railway station serving the Terwijde district in the city of Utrecht in the Netherlands.
-
D.
Utrecht
Utrecht is a historic city and province in the central Netherlands, known for its medieval old town, canals, and role as a religious and cultural center.
-
E.
Utrecht
Utrecht is a small town in South Africa’s KwaZulu-Natal province, known for its scenic surroundings and historical significance dating back to the 19th century.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0b0508819093c62a4ceaf860ce |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.