Triple
T31298168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emancipation |
E798137
|
entity |
| Predicate | discCountStructure |
P21568
|
FINISHED |
| Object | three discs of 12 songs each |
—
|
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: three discs of 12 songs each | Statement: [Emancipation, discCountStructure, three discs of 12 songs each]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discCountStructure Context triple: [Emancipation, discCountStructure, three discs of 12 songs each]
-
A.
hasStructureCount
Indicates the number of structures associated with or contained by a given entity.
-
B.
densityStructure
Indicates a relationship where one entity characterizes or defines the density-related structural properties or organization of another entity.
-
C.
numberOfDiscs
chosen
Indicates the quantity of discs associated with or contained by a given entity.
-
D.
divisionCountRelation
Indicates a relationship where one entity’s quantity is divided by another’s, specifying how many times one value is contained within or partitions the other.
-
E.
disciplineCount
Indicates the number of disciplinary actions or incidents associated with an entity.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.