Triple
T4470763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Codex 150, Bibliothèque municipale de Valenciennes |
E98489
|
entity |
| Predicate | genreOfContainedWork |
P37316
|
FINISHED |
| Object | Christian royal praise poem (Ludwigslied) |
—
|
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: Christian royal praise poem (Ludwigslied) | Statement: [Codex 150, Bibliothèque municipale de Valenciennes, genreOfContainedWork, Christian royal praise poem (Ludwigslied)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfContainedWork Context triple: [Codex 150, Bibliothèque municipale de Valenciennes, genreOfContainedWork, Christian royal praise poem (Ludwigslied)]
-
A.
literaryGenreOfWork
Indicates that a work belongs to or is classified under a particular literary genre.
-
B.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
C.
genreOfCollection
chosen
Indicates that a specified genre categorizes or characterizes a particular collection.
-
D.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
E.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.