Triple
T479896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicano English |
E9143
|
entity |
| Predicate | canBeSpokenBy |
P5231
|
FINISHED |
| Object | monolingual English speakers of Mexican American background |
—
|
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: monolingual English speakers of Mexican American background | Statement: [Chicano English, canBeSpokenBy, monolingual English speakers of Mexican American background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeSpokenBy Context triple: [Chicano English, canBeSpokenBy, monolingual English speakers of Mexican American background]
-
A.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
B.
areSpokenIn
Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
-
C.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
D.
hasNativeSpeakers
chosen
Indicates that a language or dialect is spoken as a first language by one or more people or populations.
-
E.
spokenByMinorityIn
Indicates that a language or dialect is used primarily by a minority group within a specified geographic or political region.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f057c4ac819080cf43ffaa56c350 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.