Triple
T22167438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Baja California |
E547831
|
entity |
| Predicate | officeFormationEvent |
P49854
|
FINISHED |
| Object | Baja California statehood |
—
|
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: Baja California statehood | Statement: [Governor of Baja California, officeFormationEvent, Baja California statehood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeFormationEvent Context triple: [Governor of Baja California, officeFormationEvent, Baja California statehood]
-
A.
officeFormation
chosen
Indicates the event or process by which an office or official position is created, established, or formally constituted.
-
B.
officeCreatedFor
Indicates that an office or position was established specifically to serve, represent, or support a particular entity.
-
C.
officeTransformedInto
Indicates that one office has been converted or changed into another office or a different type of space.
-
D.
officeHeldTogetherWith
Indicates that two or more individuals simultaneously held the same office or position during an overlapping period.
-
E.
jointMeetingForms
Indicates that multiple parties come together in a single, coordinated meeting to discuss or decide on shared matters.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6642b08190980fa0c0d2bb4229 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.