Triple
T1561155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJmeer |
E33325
|
entity |
| Predicate | hasShoreline |
P6651
|
FINISHED |
| Object | Diemen |
E210294
|
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: Diemen | Statement: [IJmeer, hasShoreline, Diemen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diemen Context triple: [IJmeer, hasShoreline, Diemen]
-
A.
Diemen
chosen
Diemen is a town and municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
-
B.
Volendam
Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
-
C.
Stellendam
Stellendam is a small village in the western Netherlands, located on the island of Goeree-Overflakkee and known for its fishing harbor and proximity to the North Sea.
-
D.
Alblasserdam
Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
-
E.
Wassenaar
Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088710a881909a1226e4b54311b8 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26e37de88190b817c24323951ea8 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:27 p.m.