Triple
T12683762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wijchen |
E303012
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Oss |
E131039
|
NE FINISHED |
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: Oss | Statement: [Wijchen, borderedBy, Oss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oss Context triple: [Wijchen, borderedBy, Oss]
-
A.
Oss
chosen
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
-
B.
Ossi
Ossi is a small town in the Sardinian region of Gallura in Italy, known for its traditional rural character and proximity to important archaeological sites.
-
C.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
D.
Ock
Ock is a small river in Oxfordshire, England, that flows through towns such as Wantage and Abingdon before joining the River Thames.
-
E.
Oxos
Oxos is the ancient Greek name for the Oxus River, a major waterway of Central Asia historically significant to Persian and Hellenistic civilizations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.