Triple
T17126589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgium and the Netherlands |
E415611
|
entity |
| Predicate | shareLanguageCommunity |
P5562
|
FINISHED |
| Object | Dutch-speaking media space |
—
|
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: Dutch-speaking media space | Statement: [Belgium and the Netherlands, shareLanguageCommunity, Dutch-speaking media space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareLanguageCommunity Context triple: [Belgium and the Netherlands, shareLanguageCommunity, Dutch-speaking media space]
-
A.
sharesLanguageWith
Indicates that two entities use at least one common language for communication.
-
B.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
C.
sharesCommunityWith
Indicates that two entities belong to or participate in the same community or communal group.
-
D.
languageLocalCommunities
Indicates that a language is used, maintained, or holds significance within specific local communities or regions.
-
E.
collaboratingCommunity
Indicates that two or more entities are actively working together toward shared goals or projects as part of a community relationship.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f027a3d081908fc1134b50db3d45 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.