Triple
T10957497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty-Four Forty or Fight |
E258882
|
entity |
| Predicate | usedByPoliticalFaction |
P96829
|
FINISHED |
| Object | U.S. expansionists |
—
|
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: U.S. expansionists | Statement: [Fifty-Four Forty or Fight, usedByPoliticalFaction, U.S. expansionists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByPoliticalFaction Context triple: [Fifty-Four Forty or Fight, usedByPoliticalFaction, U.S. expansionists]
-
A.
usedByPolity
Indicates that something (such as a resource, tool, system, or practice) is utilized or employed by a particular polity (e.g., a state, government, or political entity).
-
B.
usedWithinPoliticalEntityType
Indicates that something is utilized or applied within the context of a specific type or category of political entity (such as a state, city, or region).
-
C.
hasPoliticalGroup
Indicates that an entity is associated with, belongs to, or is represented by a particular political group or organization.
-
D.
hasOpposingFaction
Indicates that one faction stands in opposition or conflict to another faction.
-
E.
usesPoliticalLabel
Indicates that one entity applies or assigns a specific political label or classification to another entity.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.