Triple
T7679585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N57 road |
E173954
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Schouwen-Duiveland |
E101414
|
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: Schouwen-Duiveland | Statement: [N57 road, connects, Schouwen-Duiveland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schouwen-Duiveland Context triple: [N57 road, connects, Schouwen-Duiveland]
-
A.
Schouwen-Duiveland
chosen
Schouwen-Duiveland is a coastal municipality and island in the southwest of the Netherlands known for its beaches, nature reserves, and water sports tourism.
-
B.
Schouwen-Duiveland island
Schouwen-Duiveland island is a Dutch North Sea island in the province of Zeeland, known for its coastal landscapes, beaches, and role in the Delta Works flood protection system.
-
C.
Kennemerland
Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
-
D.
Flevoland
Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
-
E.
Hoeksche Waard
Hoeksche Waard is a rural island and municipality in South Holland, Netherlands, known for its agricultural landscape and small towns.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fe2cc88190b5fd5e1378c32e5b |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c963e3a3e0819092c6c7dd0dc82e7d |
completed | March 29, 2026, 5:39 p.m. |
Created at: March 27, 2026, 4:01 p.m.