Triple
T29587202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Luttes et les rêves |
E754051
|
entity |
| Predicate | collectionSectionNumber |
P182242
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Les Luttes et les rêves, collectionSectionNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionSectionNumber Context triple: [Les Luttes et les rêves, collectionSectionNumber, 3]
-
A.
collectionSection
Indicates a relationship where a collection is divided into or associated with a specific section or subdivision within it.
-
B.
isSectionNumber
Indicates that one entity is the section number identifier associated with another entity, typically within a structured document or text.
-
C.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
D.
collectionPosition
Indicates the relative ordering or placement of an item within a collection or sequence.
-
E.
hasCollectionSection
Indicates that an entity includes or is organized into a specific section within a larger collection.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 28, 2026, 6:11 p.m.