Triple
T71757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Capitol |
E1434
|
entity |
| Predicate | hasLegislativeChambers |
P1312
|
FINISHED |
| Object | bicameral |
—
|
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: bicameral | Statement: [California State Capitol, hasLegislativeChambers, bicameral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegislativeChambers Context triple: [California State Capitol, hasLegislativeChambers, bicameral]
-
A.
hasBicameralStructure
chosen
Indicates that an entity possesses a two-chamber (two-house) internal organizational or legislative structure.
-
B.
hasLegislativePower
Indicates that an entity possesses the authority to create, amend, or repeal laws within a given jurisdiction or governing framework.
-
C.
hasGovernmentBody
Indicates that one entity serves as the official governing or administrative body responsible for overseeing or managing another entity.
-
D.
legislature
Indicates that an entity serves as, or is part of, a law-making body or assembly responsible for creating or amending laws for a political unit.
-
E.
conferringBody
Indicates the organization or authority that formally grants or bestows something, such as an award, degree, or title, upon a recipient.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f6997c081908b202f937eb2b14f |
completed | Feb. 28, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69a24eab7f408190a8275cb82474f575 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.