Triple
T20073559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresno County supervisorial districts |
E499799
|
entity |
| Predicate | numberOfSupervisorsElected |
P31812
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Fresno County supervisorial districts, numberOfSupervisorsElected, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSupervisorsElected Context triple: [Fresno County supervisorial districts, numberOfSupervisorsElected, 5]
-
A.
numberOfElectedMembers
chosen
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
B.
membersElected
Indicates that certain individuals are chosen through an election process to serve as members of a group, body, or organization.
-
C.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
-
D.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
-
E.
membersAreElectedIn
Indicates that the members of a group or body attain their positions through an election process held within a specified context or jurisdiction.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66439efe881909a068c3f05022421 |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.