Triple
T9643172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Left (Poland) |
E233124
|
entity |
| Predicate | isContemporary |
P6401
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New Left (Poland), isContemporary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isContemporary Context triple: [New Left (Poland), isContemporary, true]
-
A.
contemporary
Indicates that two entities exist, occur, or are active during the same time period or historical era.
-
B.
isModern
Indicates that something belongs to, reflects, or is characteristic of the contemporary or recent period, especially in style, design, or thinking.
-
C.
contemporaryUse
Indicates that something is currently used or practiced in the present time or modern context.
-
D.
contemporaryWith
chosen
Indicates that two entities existed, occurred, or were active during the same time period.
-
E.
contemporaryReception
Indicates how a work, event, or figure was received, perceived, or evaluated by audiences and critics at the time it originally appeared or occurred.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7cda388190a38f96d78085f404 |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:12 p.m.