Triple
T1472407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1968 United States presidential election |
E27163
|
entity |
| Predicate | carriedStatesThird |
P29083
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1968 United States presidential election, carriedStatesThird, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedStatesThird Context triple: [1968 United States presidential election, carriedStatesThird, 5]
-
A.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
B.
thirdTier
Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
-
C.
appliedToStatesThrough
Indicates that something (such as a rule, policy, or process) is implemented or enforced by means of, or via the mediation of, particular states.
-
D.
thirdStation
Indicates that one entity is the third station in an ordered sequence or route relative to another entity.
-
E.
cooperatingState
Indicates that one state collaborates or works jointly with another state toward shared goals or activities.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5dc90e481908a4935f266bc7850 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:01 p.m.