Triple
T28859960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Arlington mayoral election |
E728830
|
entity |
| Predicate | incumbentMayorAtTime |
P74424
|
FINISHED |
| Object | Jeff Williams |
—
|
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: Jeff Williams | Statement: [2021 Arlington mayoral election, incumbentMayorAtTime, Jeff Williams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentMayorAtTime Context triple: [2021 Arlington mayoral election, incumbentMayorAtTime, Jeff Williams]
-
A.
formerMayor
Indicates that the subject once held the position of mayor of the object entity but no longer does.
-
B.
mayorAppointment
Indicates that one entity appoints or designates another entity to serve in the role of mayor.
-
C.
hasMayorTerm
chosen
Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
-
D.
wonMayoraltyOf
Indicates that one entity won the election to become mayor of a specified place or jurisdiction.
-
E.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 6:46 a.m.