Triple
T59871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Legislature |
E1186
|
entity |
| Predicate | canHoldSpecialSessions |
P4271
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Texas Legislature, canHoldSpecialSessions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canHoldSpecialSessions Context triple: [Texas Legislature, canHoldSpecialSessions, yes]
-
A.
canBeCalledIntoSpecialSessionBy
Indicates that one entity has the authority to convene or summon another entity into a special session.
-
B.
hasPresidingOfficer
Indicates that one entity serves as the presiding officer (leader or chair) over another entity, such as an organization, meeting, or body.
-
C.
legislativeSession
Indicates that an entity is a formal meeting period of a legislative body during which it conducts its official business, such as debating and passing laws.
-
D.
convenesRegularSession
Indicates that an entity formally brings together a group or body for its routine or scheduled meeting.
-
E.
hasLegislativePower
Indicates that an entity possesses the authority to create, amend, or repeal laws within a given jurisdiction or governing framework.
- F. None of above. chosen
Provenance (4 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24e9f40908190a2f4a2111469b733 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a250e2a80881909e5a653260e6f8e0 |
completed | Feb. 28, 2026, 2:20 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.