Triple
T38161446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico family |
E953026
|
entity |
| Predicate | heldOfficeThroughMember |
P112779
|
FINISHED |
| Object | Governor of Alta California |
—
|
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: Governor of Alta California | Statement: [Pico family, heldOfficeThroughMember, Governor of Alta California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldOfficeThroughMember Context triple: [Pico family, heldOfficeThroughMember, Governor of Alta California]
-
A.
memberHoldsOffice
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
B.
memberHeldOfficeFrom
Indicates that a member began holding a particular office or position starting from a specified date or time.
-
C.
hasMemberWhoHeldOffice
chosen
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
D.
hasMemberByVirtueOfOffice
Indicates that an entity is a member of a group or body specifically because they hold a particular office or position.
-
E.
traditionallyHoldsOffice
Indicates that an entity customarily or historically occupies a particular office or position as part of an established tradition.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.