Triple
T29435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Breed |
E587
|
entity |
| Predicate | previousPositionHeld |
P8
|
FINISHED |
| Object | President of the San Francisco 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: President of the San Francisco Board of Supervisors | Statement: [London Breed, previousPositionHeld, President of the San Francisco Board of Supervisors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousPositionHeld Context triple: [London Breed, previousPositionHeld, President of the San Francisco Board of Supervisors]
-
A.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
firstOccupiedBy
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
-
D.
firstOccupied
Indicates that an entity was the initial or earliest occupant of a particular place, position, or resource.
-
E.
presentedBy
Indicates that something (such as an event, performance, or work) is formally organized, hosted, or introduced by a particular person or entity.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a2486d40348190b2d21fc444f499a6 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.