Triple
T8241804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election, 1900 |
E192552
|
entity |
| Predicate | campaignThemeOfMcKinley |
P4174
|
FINISHED |
| Object | prosperity and stability |
—
|
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: prosperity and stability | Statement: [United States presidential election, 1900, campaignThemeOfMcKinley, prosperity and stability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignThemeOfMcKinley Context triple: [United States presidential election, 1900, campaignThemeOfMcKinley, prosperity and stability]
-
A.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
B.
campaignTheme
chosen
Indicates the central idea or message that characterizes and unifies a particular campaign.
-
C.
hasFictionalSchool
Indicates that an entity is associated with or contains a school that exists only within a fictional or imaginary context.
-
D.
mainAvenueOfCelebration
Indicates the primary street or thoroughfare where a celebration or festivity mainly takes place.
-
E.
exhibitTheme
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783f67708190a4e1c4078c3a6fb0 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.