Triple
T26803091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronologie |
E671150
|
entity |
| Predicate | hasTrackSequenceConcept |
P184838
|
FINISHED |
| Object | numbered parts 1 to 8 |
—
|
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: numbered parts 1 to 8 | Statement: [Chronologie, hasTrackSequenceConcept, numbered parts 1 to 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackSequenceConcept Context triple: [Chronologie, hasTrackSequenceConcept, numbered parts 1 to 8]
-
A.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
B.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
C.
isConceptTrackOf
Indicates that one entity is a conceptual or abstract version of another entity, typically representing the underlying idea or theme rather than a specific concrete instance.
-
D.
hasTrackFeatures
Indicates that something possesses or is associated with specific track-related characteristics or attributes.
-
E.
hasAlbumSequenceContext
Indicates that an album is associated with a particular position or contextual role within a sequence of albums.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 27, 2026, 4:24 a.m.