Triple
T1464336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaqaru |
E31584
|
entity |
| Predicate | hasLanguagePolicyStatus |
P25828
|
FINISHED |
| Object | recognized indigenous language of Peru |
—
|
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: recognized indigenous language of Peru | Statement: [Jaqaru, hasLanguagePolicyStatus, recognized indigenous language of Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguagePolicyStatus Context triple: [Jaqaru, hasLanguagePolicyStatus, recognized indigenous language of Peru]
-
A.
hasLanguageStatus
chosen
Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
-
B.
hasOfficialLanguagePolicy
Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
-
C.
hasVisitorPolicy
Indicates that an entity has an established policy governing the presence, behavior, or permissions of visitors.
-
D.
officialLanguageStatusSharedWith
Indicates that two entities share at least one official language in common.
-
E.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ba2d5c81909ee85713de961fcb |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.