Triple
T3693279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1840 United States presidential election |
E78392
|
entity |
| Predicate | featuredCampaignSymbol |
P21251
|
FINISHED |
| Object | log cabin |
—
|
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: log cabin | Statement: [1840 United States presidential election, featuredCampaignSymbol, log cabin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredCampaignSymbol Context triple: [1840 United States presidential election, featuredCampaignSymbol, log cabin]
-
A.
campaignSymbol
chosen
Indicates that something serves as a symbol or emblem representing a particular campaign.
-
B.
symbolOnInsignia
Indicates that a particular symbol appears on or is featured as part of an insignia.
-
C.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
D.
campaignTheme
Indicates the central idea or message that characterizes and unifies a particular campaign.
-
E.
campaignCharacteristics
Indicates the defining features, attributes, or qualities that characterize a particular campaign.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e89f588190951371439a035850 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.