Triple
T1564374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nixon 1972 presidential campaign |
E33398
|
entity |
| Predicate | statesLost |
P29487
|
FINISHED |
| Object | 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: 1 | Statement: [Nixon 1972 presidential campaign, statesLost, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statesLost Context triple: [Nixon 1972 presidential campaign, statesLost, 1]
-
A.
statesCarriedByLoser
Indicates that the specified states are those won or carried by the losing party or candidate in an election or contest.
-
B.
states
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
-
C.
affectedU.S.State
Indicates that a particular U.S. state is impacted or influenced by a specified event, condition, or entity.
-
D.
primaryStates
Indicates that certain states or conditions are the main or most fundamental ones within a given context or system.
-
E.
stateName
Indicates that an entity is identified by or associated with a particular state’s name.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a90fcb8ca48190a9ee50559ba73b22 |
completed | March 5, 2026, 5:08 a.m. |
Created at: March 4, 2026, 7:27 p.m.