Triple
T454724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutschlandlied |
E7208
|
entity |
| Predicate | lyricsWrittenInYear |
P10580
|
FINISHED |
| Object | 1841 |
—
|
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: 1841 | Statement: [Deutschlandlied, lyricsWrittenInYear, 1841]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsWrittenInYear Context triple: [Deutschlandlied, lyricsWrittenInYear, 1841]
-
A.
lyricsBy
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
B.
yearLit
Indicates the year in which something was illuminated, lit, or first had lighting installed or activated.
-
C.
lyricist
Indicates that one entity is the writer of the words (lyrics) for a musical work associated with another entity.
-
D.
compositionYear
chosen
Indicates the year in which a work (such as a piece of music, art, or literature) was originally created or composed.
-
E.
hasComposerLyricistTeam
Indicates a relationship where a musical work is associated with a specific team that jointly fulfills the roles of composer and lyricist.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef87cc7c8190a0fec933457821e2 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede4de008190b5a6c159e741522e |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.