Triple
T34335921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mun2 |
E881145
|
entity |
| Predicate | broadcastLanguageMix |
P105279
|
FINISHED |
| Object | Spanish |
—
|
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 | Statement: [mun2, broadcastLanguageMix, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastLanguageMix Context triple: [mun2, broadcastLanguageMix, Spanish]
-
A.
broadcastInLanguage
Indicates that a broadcast, program, or media content is transmitted or made available in a specified language.
-
B.
languageMix
Indicates that multiple languages are used together or intermixed within the same context, communication, or content.
-
C.
hasVocalLanguageMix
chosen
Indicates that an entity’s vocal communication combines multiple languages or language varieties within its speech.
-
D.
broadcastType
Indicates the specific mode or category of broadcasting used to transmit content (e.g., live, recorded, streaming, or other broadcast formats) between entities.
-
E.
languageOfPrimaryBroadcasts
Indicates the language in which an entity’s primary broadcasts are delivered.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: May 1, 2026, 1:58 a.m.