Triple
T3898356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America |
E90426
|
entity |
| Predicate | hasPoliticalSystems |
P1815
|
FINISHED |
| Object | democracies |
—
|
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: democracies | Statement: [America, hasPoliticalSystems, democracies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalSystems Context triple: [America, hasPoliticalSystems, democracies]
-
A.
hasPolity
chosen
Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
-
B.
politicalSystemHistorical
Indicates a relationship where a political system is characterized or analyzed in terms of its historical development, context, or evolution.
-
C.
politicalSystemOnOtherSide
Indicates that one political system is located or operates on the opposite side of a specified reference point or boundary relative to another.
-
D.
governsInPoliticalSystem
Indicates that one entity exercises authoritative control or rule over another entity within a specified political system or structure.
-
E.
hasMultiPartySystemSince
Indicates that an entity has operated under a multi-party political system starting from a specified point in time.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.