Triple
T15704556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyserbosweg |
E380673
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Gulpen-Wittem |
E651953
|
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: Gulpen-Wittem | Statement: [Eyserbosweg, locatedInMunicipality, Gulpen-Wittem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulpen-Wittem Context triple: [Eyserbosweg, locatedInMunicipality, Gulpen-Wittem]
-
A.
Gulpen-Wittem
chosen
Gulpen-Wittem is a rural municipality in the hilly, scenic part of the Dutch province of Limburg, known for its historic villages and popular cycling and hiking routes.
-
B.
Geldern
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
-
C.
Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
-
D.
Oosterwijtwerd
Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
-
E.
Bodegraven
Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6fc3608190a85b25755f5345db |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757997348190b29a9b55ba08169f |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.