Triple
T21131987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Oss |
E520709
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oijen |
—
|
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: Oijen | Statement: [municipality of Oss, contains, Oijen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oijen Context triple: [municipality of Oss, contains, Oijen]
-
A.
Oijen
chosen
Oijen is a village in the Dutch province of North Brabant that forms part of the municipality of Oss.
-
B.
Kunoy
Kunoy is a small, mountainous island in the Faroe Islands known for its dramatic cliffs, sparse population, and traditional fishing villages.
-
C.
Watanobbi
Watanobbi is a residential suburb on the Central Coast of New South Wales, Australia, known for its family-friendly atmosphere and proximity to major regional centres.
-
D.
Оять
Оять — река на северо-западе России, протекающая по территории Ленинградской и Вологодской областей и известная как значимый водный путь региона.
-
E.
Omura
Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235668e081909bd810016ba2dd8e |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:56 p.m.