Triple
T3910646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benelux Committee of Ministers |
E87311
|
entity |
| Predicate | hasOfficialNameInLanguage |
P26955
|
FINISHED |
| Object | Dutch |
—
|
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 | Statement: [Benelux Committee of Ministers, hasOfficialNameInLanguage, Dutch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialNameInLanguage Context triple: [Benelux Committee of Ministers, hasOfficialNameInLanguage, Dutch]
-
A.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
B.
hasOfficialNameInLatin
Indicates that an entity has an official or formally recognized name expressed in the Latin language.
-
C.
hasLanguageOfOfficialName
chosen
Indicates that an entity’s official name is expressed in a specified language.
-
D.
hasOfficialNameInPortuguese
Indicates that an entity has an official name expressed in the Portuguese language.
-
E.
hasOfficialNameInJapanese
Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.