Triple
T3274636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socialist Party of Greece |
E68729
|
entity |
| Predicate | aimedToRepresent |
P33418
|
FINISHED |
| Object | working class |
—
|
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: working class | Statement: [Socialist Party of Greece, aimedToRepresent, working class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimedToRepresent Context triple: [Socialist Party of Greece, aimedToRepresent, working class]
-
A.
eraRepresented
Indicates that a subject depicts, symbolizes, or stands for a particular historical or temporal era.
-
B.
representsPeople
chosen
Indicates that one entity serves as a representation or stand-in for one or more people.
-
C.
areRepresentedIn
Indicates that one entity serves as a representation, depiction, or encoding of another entity within a given medium, context, or system.
-
D.
representativeOfState
Indicates that an entity serves as an official representative or agent acting on behalf of a particular state or government.
-
E.
representedPoliticalEntity
Indicates that one entity has served as an official political representative or agent acting on behalf of another political 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.