Triple
T29027979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanisches Liederbuch |
E737647
|
entity |
| Predicate | textAdapter |
P165939
|
FINISHED |
| Object | Paul Heyse |
—
|
NE NERFINISHED |
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: Paul Heyse | Statement: [Spanisches Liederbuch, textAdapter, Paul Heyse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textAdapter Context triple: [Spanisches Liederbuch, textAdapter, Paul Heyse]
-
A.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
B.
textModes
Indicates a relationship where an entity supports or operates in specific textual modes or formats (such as plain text, rich text, or other text-based configurations).
-
C.
textColumns
Indicates that one entity defines or contains the columnar text layout or text columns used or referenced by another entity.
-
D.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
E.
textScript
Indicates the writing system or script in which a given piece of text is expressed.
- F. None of above. chosen
Provenance (4 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6600b2ea0819080d54e0400bd3364 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:53 a.m.