Triple
T3345916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1852 United States presidential election |
E70373
|
entity |
| Predicate | percentageMainOpponent |
P47361
|
FINISHED |
| Object | 44.1 |
—
|
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: 44.1 | Statement: [1852 United States presidential election, percentageMainOpponent, 44.1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageMainOpponent Context triple: [1852 United States presidential election, percentageMainOpponent, 44.1]
-
A.
opponentStrength
Indicates the level or degree of power, skill, or capability possessed by an opposing party in a competitive or adversarial context.
-
B.
keyOpponents
Indicates that the subject has primary or most significant opponents identified by the object.
-
C.
allTimeWinningPercentage
Indicates the proportion of contests or games an entity has won over its entire recorded history, typically expressed as a percentage.
-
D.
OnBasePercentage
Indicates the frequency with which a batter successfully reaches base (by hit, walk, or hit-by-pitch) per plate appearance.
-
E.
opponentObjective
Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f36c74819093ef2c74a46c2351 |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:12 p.m.