Triple
T31784986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States Senate elections |
E811303
|
entity |
| Predicate | stateWithCloselyWatchedRace |
P194524
|
FINISHED |
| Object | Nevada |
—
|
NE NERFINISHED |
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: Nevada | Statement: [2010 United States Senate elections, stateWithCloselyWatchedRace, Nevada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateWithCloselyWatchedRace Context triple: [2010 United States Senate elections, stateWithCloselyWatchedRace, Nevada]
-
A.
raceStatus
Indicates the current state or progress of an entity’s participation in a race or competitive event.
-
B.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
C.
rulingRace
Indicates that one group or race holds dominant governing or controlling power over another group or within a given context.
-
D.
notableRaceStatus
Indicates that an entity holds a distinguished or significant status in the context of a particular race or racing event.
-
E.
stateOfChampion
Indicates the relationship in which an entity holds the status or title of being a champion in a particular context or competition.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
| PDg | Predicate description generation | batch_69fd783e9e5c819087dec7fefa03700d |
completed | May 8, 2026, 5:44 a.m. |
Created at: April 30, 2026, 11:37 p.m.