Triple
T20322989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E231 European route |
E492255
|
entity |
| Predicate | terminusSouth |
P1866
|
FINISHED |
| Object | Hoevelaken |
—
|
NE NERFINISHED |
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: Hoevelaken | Statement: [E231 European route, terminusSouth, Hoevelaken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoevelaken Context triple: [E231 European route, terminusSouth, Hoevelaken]
-
A.
Hoevelaken
chosen
Hoevelaken is a town in the Dutch province of Gelderland, known as a local transport hub near the junction of major motorways.
-
B.
Hovet
Hovet is an indoor ice hockey arena in Stockholm, Sweden, best known as the longtime home venue of Djurgårdens IF's ice hockey team.
-
C.
Hovet
Hovet is a small village in Hol Municipality in Viken county, Norway, known for its mountainous surroundings and traditional rural character.
-
D.
Loden
Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
-
E.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778d95dc81909b1c87d26b5d3a33 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:20 a.m.