Triple
T35676928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State primary elections |
E1030883
|
entity |
| Predicate | languageAssistance |
P135582
|
FINISHED |
| Object | subject to federal and state language access requirements in some jurisdictions |
—
|
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: subject to federal and state language access requirements in some jurisdictions | Statement: [New York State primary elections, languageAssistance, subject to federal and state language access requirements in some jurisdictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageAssistance Context triple: [New York State primary elections, languageAssistance, subject to federal and state language access requirements in some jurisdictions]
-
A.
languageAssistanceBasis
chosen
Indicates the basis or grounds on which language assistance is provided or justified in a given context.
-
B.
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.
-
C.
languageFeature
Indicates that one entity is a characteristic, property, or capability of a language associated with the other entity.
-
D.
languageModel
Indicates that one entity is a language model used to process, generate, or understand natural language in relation to another entity.
-
E.
languageConsultant
Indicates that one entity serves as a language consultant, providing expert advice or guidance on language-related matters to 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_6a00c8e617548190bba4cdfbb6f512e0 |
completed | May 10, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_6a00c7e816b88190bd40f5ea2a768c8b |
completed | May 10, 2026, 6:01 p.m. |
Created at: May 3, 2026, 4:05 p.m.