Triple
T60337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | libertarian socialism |
E1196
|
entity |
| Predicate | seeks |
P860
|
FINISHED |
| Object | abolition of the state |
—
|
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: abolition of the state | Statement: [libertarian socialism, seeks, abolition of the state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeks Context triple: [libertarian socialism, seeks, abolition of the state]
-
A.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
B.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
C.
seal
Indicates that an agent closes or fastens something so that it is securely shut and often airtight or watertight.
-
D.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
E.
meets
Indicates that two or more entities come together at the same place and time, typically for interaction or a shared purpose.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251a1b8ac8190b44be4c3c41e5681 |
completed | Feb. 28, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69a24ea0bec48190b2af1fb287e9e692 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.