Triple
T20244870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N203 road |
E498396
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Krommenie |
—
|
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: Krommenie | Statement: [N203 road, connects, Krommenie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krommenie Context triple: [N203 road, connects, Krommenie]
-
A.
Krommenie
chosen
Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
-
B.
Krasnobród
Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
-
C.
Murów
Murów is a village in southwestern Poland that serves as the seat of the rural administrative district (gmina) of Murów in Opole Voivodeship.
-
D.
Kromołów
Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
-
E.
Niedzica
Niedzica is a village in southern Poland known for its historic castle overlooking the Czorsztyn Lake in the Pieniny Mountains.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a10ab48190a408a5d2c2b0808b |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.