Triple
T35716935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dienstreizen van een thuisblijver |
E1032040
|
entity |
| Predicate | landVanHerkomst |
P175438
|
FINISHED |
| Object | Nederland |
—
|
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: Nederland | Statement: [Dienstreizen van een thuisblijver, landVanHerkomst, Nederland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landVanHerkomst Context triple: [Dienstreizen van een thuisblijver, landVanHerkomst, Nederland]
-
A.
landVariant
Indicates that one landform, terrain type, or land-related entity is an alternative or variant form of another.
-
B.
landComponent
Indicates that one entity is a physical land portion or segment that forms part of a larger land area or land-related whole.
-
C.
ligtInLand
chosen
Indicates that one place or region is geographically located within the boundaries of a specific country.
-
D.
landVidTidpunkten
Indicates that something is located or present at a specific point in time.
-
E.
landedOnBy
Indicates that one entity has come down to rest upon or make contact with the surface of another entity.
- F. None of above.
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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.