Triple
T13214664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Bavo Church |
E314579
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Grote Markt |
unclear NED1
|
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: Grote Markt | Statement: [St. Bavo Church, locatedOn, Grote Markt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grote Markt Context triple: [St. Bavo Church, locatedOn, Grote Markt]
-
A.
Grote Markt
Grote Markt is the historic central market square of Haarlem in the Netherlands, known for its medieval architecture and prominent civic and religious buildings.
-
B.
Grote Markt
Grote Markt is the historic central market square of Gouda in the Netherlands, known for its traditional cheese market and surrounding medieval architecture.
-
C.
Grote Markt
Grote Markt is the central market square and main public gathering place in the Dutch city of Enschede, known for its shops, cafés, and events.
-
D.
Grote Markt
Grote Markt is the historic central market square of Veurne, Belgium, known for its well-preserved medieval and Renaissance architecture and prominent civic buildings.
-
E.
Grote Markt
Grote Markt is the central historic market square of Oldenzaal in the Netherlands, known for its surrounding shops, cafes, and traditional townscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1ebf648190a27d11b3dc494446 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:18 p.m.