Triple
T26552316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Coahuila |
E671710
|
entity |
| Predicate | legislatureFunction |
P239
|
FINISHED |
| Object | enacts state laws |
—
|
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: enacts state laws | Statement: [Government of Coahuila, legislatureFunction, enacts state laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislatureFunction Context triple: [Government of Coahuila, legislatureFunction, enacts state laws]
-
A.
legislature
chosen
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.
-
B.
legislatureComponent
Indicates that one entity is a constituent part or chamber of a larger legislative body.
-
C.
legislativeRole
Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
-
D.
legislativeMechanism
Indicates a relationship where a law, policy, or rule is created, modified, or enacted through a specific formal legislative process or procedure.
-
E.
legislatureStructure
Indicates how a legislative body is organized, such as its internal composition, chambers, and structural arrangement.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 1:48 a.m.