Triple
T25838705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Aruba |
E650874
|
entity |
| Predicate | alsoUsesLanguageInAdministration |
P86356
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Government of Aruba, alsoUsesLanguageInAdministration, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoUsesLanguageInAdministration Context triple: [Government of Aruba, alsoUsesLanguageInAdministration, English]
-
A.
languageOfCurrentAdministration
Indicates the language currently used by the governing or administrative authority in charge.
-
B.
usesLanguageForAdministration
chosen
Indicates that an entity employs a particular language as the official medium for its administrative or governmental functions.
-
C.
historicallyDominantLanguageOfAdministrationIn
Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
-
D.
usesOfficialLanguageOf
Indicates that one entity adopts and employs the official language of another entity for communication or formal purposes.
-
E.
languageOfAwardAdministration
Indicates the language used to administer, manage, or conduct the award process.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f601f72ff881909cd8e6be4b5d2942 |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 7:47 a.m.