Triple
T12856764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Connecticut gubernatorial election |
E307474
|
entity |
| Predicate | wasCloseRace |
P28795
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2018 Connecticut gubernatorial election, wasCloseRace, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasCloseRace Context triple: [2018 Connecticut gubernatorial election, wasCloseRace, true]
-
A.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
B.
wasCloseElection
chosen
Indicates that an election was decided by a very small margin between candidates or options.
-
C.
racedIn
Indicates that an entity participated as a competitor in a particular race or racing event.
-
D.
lastRace
Indicates that one race is the final or most recent race in a sequence or series of races.
-
E.
closingMatch
Indicates that one entity’s closing or ending state, value, or condition corresponds to, matches, or satisfies the closing criteria of another entity.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:37 p.m.