Triple
T7720022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jopara |
E174983
|
entity |
| Predicate | hasCodeMixingType |
P78770
|
FINISHED |
| Object | code-switching |
—
|
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: code-switching | Statement: [Jopara, hasCodeMixingType, code-switching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCodeMixingType Context triple: [Jopara, hasCodeMixingType, code-switching]
-
A.
hasCodaTypes
Indicates that a linguistic unit (such as a syllable) possesses one or more specific types of codas in its structure.
-
B.
hasTypeCode
Indicates that an entity is associated with a specific type classification represented by a code.
-
C.
hasCastType
Indicates that an entity participates in a production with a specified type of casting role (e.g., lead, supporting, cameo).
-
D.
hasMethodType
Indicates that an entity is associated with, or characterized by, a specific type or category of method used or applied in its context.
-
E.
hasNumberOfTypes
Indicates that an entity is associated with a specific count of distinct types or categories it possesses or includes.
- F. None of above. chosen
Provenance (4 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:05 p.m.