Triple
T27794865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagon makers’ valley |
E701178
|
entity |
| Predicate | isApproximateTranslationOf |
P15005
|
FINISHED |
| Object | Wagenmakersvallei |
—
|
LITERAL 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: Wagenmakersvallei | Statement: [Wagon makers’ valley, isApproximateTranslationOf, Wagenmakersvallei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isApproximateTranslationOf Context triple: [Wagon makers’ valley, isApproximateTranslationOf, Wagenmakersvallei]
-
A.
isTranslationBy
Indicates that one entity is a translation produced by a specific agent (such as a person, system, or organization).
-
B.
isTranslatedBy
Indicates that one entity serves as the translator or translating agent responsible for rendering the content of another entity into a different language or form.
-
C.
translationApproximate
chosen
Indicates that one entity is an inexact or approximate translation of another, preserving general meaning but not precise wording or full detail.
-
D.
possiblyTranslatedFrom
Indicates that one item may be a translation of another, but this relationship is uncertain or not definitively established.
-
E.
canTranslateBetween
Indicates that an entity has the ability to translate or convert information accurately between two specified languages, formats, or representation systems.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6380a86648190b4ef3ee0ce498b12 |
completed | May 2, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:30 p.m.