Triple
T19208660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grote Markt, Haarlem |
E480300
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Vleeshal |
—
|
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: Vleeshal | Statement: [Grote Markt, Haarlem, hasLandmark, Vleeshal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vleeshal Context triple: [Grote Markt, Haarlem, hasLandmark, Vleeshal]
-
A.
Vleeshalle
Vleeshalle is a historic former meat market building and notable architectural landmark located in the Belgian town of Veurne.
-
B.
Vleeshal (Haarlem)
chosen
Vleeshal (Haarlem) is a historic former meat hall on Haarlem’s Grote Markt, now used as an exhibition space for contemporary art.
-
C.
Ossenzijl
Ossenzijl is a small village in the Dutch province of Overijssel, known as a gateway to the Weerribben-Wieden National Park and its extensive wetlands and waterways.
-
D.
Bruls
Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
-
E.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f9a000188190afb762ea24bc3deb |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:20 p.m.