Triple
T20268904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libertango |
E499039
|
entity |
| Predicate | hasVocalAdaptationLanguage |
P47965
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Libertango, hasVocalAdaptationLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVocalAdaptationLanguage Context triple: [Libertango, hasVocalAdaptationLanguage, English]
-
A.
hasVocalLanguageMix
Indicates that an entity’s vocal communication combines multiple languages or language varieties within its speech.
-
B.
languageOfVocalization
chosen
Indicates the language in which a vocalization (such as speech or singing) is produced.
-
C.
hasVocalForces
Indicates that an entity involves or employs vocal performers or vocal parts as a contributing force.
-
D.
hasVoices
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
-
E.
hasAlternativeVocalization
Indicates that an entity has another valid way it can be vocalized or pronounced, distinct from its primary or standard vocalization.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dc8e708190b840d687f134c9e8 |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:42 p.m.