Triple
T15864699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District 3 Supervisor |
E384679
|
entity |
| Predicate | hasColleagues |
P120814
|
FINISHED |
| Object | other members of Alameda County Board of Supervisors |
—
|
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: other members of Alameda County Board of Supervisors | Statement: [District 3 Supervisor, hasColleagues, other members of Alameda County Board of Supervisors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColleagues Context triple: [District 3 Supervisor, hasColleagues, other members of Alameda County Board of Supervisors]
-
A.
hasColleagueOffice
Indicates that one entity has an office that is shared with or located near the office of another colleague entity.
-
B.
formerColleagueOf
Indicates that two entities once worked together as colleagues in the past but no longer do so.
-
C.
cabinetColleague
Indicates that two individuals serve together as colleagues within the same governing cabinet.
-
D.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
E.
hasLayCollaborators
Indicates that an entity is supported or assisted by non-professional or non-specialist collaborators in carrying out its activities or functions.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:50 a.m.