Triple
T34259597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of Sioux Falls |
E878990
|
entity |
| Predicate | canHaveReelection |
P8212
|
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: [Mayor of Sioux Falls, canHaveReelection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canHaveReelection Context triple: [Mayor of Sioux Falls, canHaveReelection, true]
-
A.
canBeReelected
chosen
Indicates that an individual currently holding an office or position is eligible to be chosen again for the same role in a subsequent election.
-
B.
eligibleForReelectionAfter
Indicates that an individual is permitted, under the relevant rules or laws, to run again for a position or office after a specified time or condition is met.
-
C.
isReelectionBid
Indicates that a political candidate is running for another term in an office they currently hold or have previously held.
-
D.
allowsImmediatePresidentialReelection
Indicates that a system, rule, or provision permits a president to run for and assume a consecutive subsequent term without any intervening gap in office.
-
E.
reElectionOf
Indicates that an entity is being elected again to a position or office they have previously held.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.