Triple
T7481516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N59 road |
E176768
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Grevelingenmeer |
E115389
|
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: Grevelingenmeer | Statement: [N59 road, crosses, Grevelingenmeer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grevelingenmeer Context triple: [N59 road, crosses, Grevelingenmeer]
-
A.
Grevelingenmeer
chosen
Grevelingenmeer is a large saltwater lake in the southwestern Netherlands, known for its water sports, nature reserves, and role in the Delta Works coastal defense system.
-
B.
Alkmaardermeer
Alkmaardermeer is a lake in North Holland, the Netherlands, known for recreational boating, sailing, and waterside leisure activities.
-
C.
Volkerakmeer
Volkerakmeer is a lake in the southwestern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway and water management area.
-
D.
Haarlemmermeer
Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
-
E.
Meppelerdiep
Meppelerdiep is a canalized river and important waterway in the northeastern Netherlands that connects the town of Meppel with larger regional waterways.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f534aa388190b3bb3e16be3a54c8 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83493f0988190b8c569d34bbe2817 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.