Triple
T23451321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuwmarkt |
E567787
|
entity |
| Predicate | hasCentralBuilding |
P28850
|
FINISHED |
| Object | Waag |
—
|
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: Waag | Statement: [Nieuwmarkt, hasCentralBuilding, Waag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waag Context triple: [Nieuwmarkt, hasCentralBuilding, Waag]
-
A.
Waag
chosen
Waag is a historic weighing house located on the Grote Markt, notable for its traditional role in trade and its characteristic Dutch architecture.
-
B.
Wassenberg
Wassenberg is a historic town in western Germany near the Dutch border, known for its medieval origins and association with the noble House of Wassenberg.
-
C.
Waag Nijmegen
Waag Nijmegen is a historic weigh house and landmark building located on the central market square in the Dutch city of Nijmegen.
-
D.
De Dam
De Dam is Amsterdam’s central and historic main square, known for its royal palace, national monument, and role as a major public gathering place.
-
E.
Schluein
Schluein is a small municipality in the Surselva region of the canton of Graubünden in eastern Switzerland.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64d3e9c8190a2596b067c4f5061 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:52 p.m.