Triple
T37653719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democracy in Plural Societies |
E937239
|
entity |
| Predicate | regardsAsSuitableFor |
P18991
|
FINISHED |
| Object | countries with segmented societies |
—
|
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: countries with segmented societies | Statement: [Democracy in Plural Societies, regardsAsSuitableFor, countries with segmented societies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regardsAsSuitableFor Context triple: [Democracy in Plural Societies, regardsAsSuitableFor, countries with segmented societies]
-
A.
isSuitableFor
chosen
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
B.
lessSuitableFor
Indicates that one entity is comparatively less appropriate, effective, or fitting than another for a given purpose, context, or condition.
-
C.
isPerfectFor
Indicates that one entity is ideally suited or optimally appropriate for another entity, purpose, or context.
-
D.
assessesForUseIn
Indicates that one entity evaluates another entity to determine its suitability or appropriateness for a particular use or application.
-
E.
mayBeAdaptedTo
Indicates that something has the potential or suitability to be modified or adjusted for use in a different context, condition, or 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.