Triple
T7190838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJssel |
E167684
|
entity |
| Predicate | mouthNearby |
P18935
|
FINISHED |
| Object | Kampen |
E87640
|
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: Kampen | Statement: [IJssel, mouthNearby, Kampen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kampen Context triple: [IJssel, mouthNearby, Kampen]
-
A.
Kampen
chosen
Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
-
B.
Kampen
Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
-
C.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
D.
Strijen
Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
-
E.
Strijdom
Strijdom is a surname most notably associated with J. G. Strijdom, a former Prime Minister of South Africa and prominent National Party politician.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e90087208190a65e49ae0e8a7cbf |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf95a1a0819099d252f037c318c7 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:50 p.m.