Triple
T7915369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorinchem |
E183810
|
entity |
| Predicate | alternativeSpelling |
P457
|
FINISHED |
| Object | Gorinchem, Gorkum |
E183810
|
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: Gorinchem, Gorkum | Statement: [Gorinchem, alternativeSpelling, Gorinchem, Gorkum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorinchem, Gorkum Context triple: [Gorinchem, alternativeSpelling, Gorinchem, Gorkum]
-
A.
Gorinchem
chosen
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
B.
Woerden
Woerden is a historic Dutch city and municipality in the central Netherlands, known for its medieval fortifications and traditional cheese market.
-
C.
Hoorn
Hoorn is a historic port city in the Netherlands known for its role in the Dutch Golden Age and as a former base of the Dutch East India Company.
-
D.
Cuijk
Cuijk is a historic town in the Dutch province of North Brabant, known for its Roman-era heritage and location along the River Meuse.
-
E.
Amersfoort
Amersfoort is a historic city in the province of Utrecht in the Netherlands, known for its well-preserved medieval center and strategic location as a rail and road hub.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a759b548190af2e2aa0705d7051 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5be54fdc81909a988114a6f30a13 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:05 p.m.