Triple
T35676876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State general elections |
E1030882
|
entity |
| Predicate | mayProvideLanguageAssistanceIn |
P11734
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [New York State general elections, mayProvideLanguageAssistanceIn, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayProvideLanguageAssistanceIn Context triple: [New York State general elections, mayProvideLanguageAssistanceIn, Spanish]
-
A.
languageAssistanceBasis
Indicates the basis or grounds on which language assistance is provided or justified in a given context.
-
B.
languageProvision
chosen
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
C.
languageAssistanceRequired
Indicates that an entity needs help with understanding, speaking, reading, or writing a language in order to effectively communicate or participate in an interaction or activity.
-
D.
mayUseLanguagesOf
Indicates that an entity is permitted to use the languages associated with another entity.
-
E.
usesLanguageSupport
Indicates that one entity makes use of language-related assistance, features, or services provided by 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fe647f081908e651c61ba350ba8 |
completed | May 3, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.