Triple
T27705084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Benito County Superior Court |
E698531
|
entity |
| Predicate | hasAlternativeLanguageServices |
P112988
|
FINISHED |
| Object | Spanish (through interpreters) |
—
|
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 (through interpreters) | Statement: [San Benito County Superior Court, hasAlternativeLanguageServices, Spanish (through interpreters)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeLanguageServices Context triple: [San Benito County Superior Court, hasAlternativeLanguageServices, Spanish (through interpreters)]
-
A.
hasMinorityLanguageServices
Indicates that an entity provides services specifically tailored for speakers of minority or less widely used languages.
-
B.
hasCustomerServiceLanguage
chosen
Indicates that an entity provides customer service in a specified language or set of languages.
-
C.
hasLanguages
Indicates that an entity is associated with one or more languages it uses, supports, or is expressed in.
-
D.
hasAdditionalLanguageOfSignage
Indicates that an entity has signage presented in one or more additional languages beyond the primary language used.
-
E.
hasAlternativeLanguageOfProceedings
Indicates that there exists another language in which the proceedings can officially be conducted or are available.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 2:59 p.m.