Triple
T11663412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dar & Receber |
E277181
|
entity |
| Predicate | hasMainLanguageOfLyrics |
P11404
|
FINISHED |
| Object | European Portuguese |
—
|
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: European Portuguese | Statement: [Dar & Receber, hasMainLanguageOfLyrics, European Portuguese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainLanguageOfLyrics Context triple: [Dar & Receber, hasMainLanguageOfLyrics, European Portuguese]
-
A.
lyricsLanguage
chosen
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
B.
hasPrimaryLanguage1
Indicates that an entity’s main or most commonly used language is the specified language.
-
C.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
D.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
E.
languageOfMusic
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d3a64c819099f398ea22c8c180 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.