Triple
T18155150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan region of Eindhoven |
E434610
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Oirschot |
—
|
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: Oirschot | Statement: [Metropolitan region of Eindhoven, hasMunicipality, Oirschot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oirschot Context triple: [Metropolitan region of Eindhoven, hasMunicipality, Oirschot]
-
A.
Oirschot
chosen
Oirschot is a historic municipality and town in the Dutch province of North Brabant, known for its well-preserved medieval center and cultural heritage.
-
B.
Korendijk
Korendijk was a former municipality in the Dutch province of South Holland that later became part of the larger municipality of Hoeksche Waard.
-
C.
Valkenswaard
Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
-
D.
Papendrecht
Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
-
E.
Kortenhoef
Kortenhoef is a village in the Dutch province of North Holland, known for its lakes, peatlands, and scenic natural surroundings.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3b5b788190b011c4eb96a71ffd |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:30 a.m.