Triple
T12449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Legislature |
E251
|
entity |
| Predicate | establishedIn |
P41
|
FINISHED |
| Object | 1849 |
—
|
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: 1849 | Statement: [California State Legislature, establishedIn, 1849]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedIn Context triple: [California State Legislature, establishedIn, 1849]
-
A.
foundedOn
chosen
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
B.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
C.
developedAt
Indicates the place or location where something was created, built, or developed.
-
D.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
E.
charteredIn
Indicates that an organization or entity has been formally established, authorized, or incorporated within a specified jurisdiction or location.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a243abb2ec8190937365e5ecec52ad |
completed | Feb. 28, 2026, 1:23 a.m. |
| PD | Predicate disambiguation | batch_69a23fe9470c8190918a6ca1df168646 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.