Triple
T11138630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Right Socialist Revolutionaries |
E263480
|
entity |
| Predicate | stanceOnLandQuestion |
P98005
|
FINISHED |
| Object | socialization of land |
—
|
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: socialization of land | Statement: [Right Socialist Revolutionaries, stanceOnLandQuestion, socialization of land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnLandQuestion Context triple: [Right Socialist Revolutionaries, stanceOnLandQuestion, socialization of land]
-
A.
usesOnLand
Indicates that one entity employs or operates another entity specifically in a land-based context.
-
B.
isInLand
Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
-
C.
hasLandComponent
Indicates that something includes, consists of, or is associated with a land-based part or portion as one of its components.
-
D.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
E.
timeOnLand
Indicates the duration that an entity spends on land within a given context or time frame.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:28 p.m.