Triple
T1260269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfax County Board of Supervisors |
E12481
|
entity |
| Predicate | chairElectedAtLarge |
P26349
|
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: [Fairfax County Board of Supervisors, chairElectedAtLarge, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairElectedAtLarge Context triple: [Fairfax County Board of Supervisors, chairElectedAtLarge, true]
-
A.
electedFrom
Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
-
B.
electedSeparatelyFrom
Indicates that the entities involved are chosen through distinct, independent election processes rather than on the same ticket or ballot.
-
C.
numberOfAtLargeSeats
Indicates the total count of at-large seats (positions not tied to specific districts or subunits) associated with an entity.
-
D.
appointedOrElected
Indicates that an entity attained a position, role, or office through either an appointment process or an electoral process.
-
E.
seatOfElector
Indicates the location or jurisdiction that serves as the official base or constituency of a given elector.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc503e88190b237210a61228dd8 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd98b62c8190a5f6710345c0537d |
completed | March 1, 2026, 10:28 p.m. |
Created at: March 1, 2026, 7:50 p.m.