Triple
T3939171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 New Hampshire gubernatorial election |
E91989
|
entity |
| Predicate | officeContestedLevel |
P52671
|
FINISHED |
| Object | state |
—
|
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: state | Statement: [2020 New Hampshire gubernatorial election, officeContestedLevel, state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeContestedLevel Context triple: [2020 New Hampshire gubernatorial election, officeContestedLevel, state]
-
A.
officeContested
Indicates that a particular office or position is being actively sought or challenged by multiple parties in an election or selection process.
-
B.
officeContestedHeldBy
Indicates that a particular office or position that was contested in an election is currently held by a specified entity.
-
C.
contestedBy
Indicates that one party challenges, disputes, or opposes a claim, decision, or position held by another party.
-
D.
controlContested
Indicates that authority or dominance over something is disputed or challenged between two or more parties.
-
E.
levelOfAppeal
Indicates the degree or intensity to which something is attractive, interesting, or desirable to someone or something.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeed3260cc8190bf294bdab507b1f9 |
completed | March 9, 2026, 3:54 p.m. |
Created at: March 9, 2026, 3:24 p.m.