Triple
T27193432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admission of Alabama as the 22nd U.S. state |
E683533
|
entity |
| Predicate | legalStatusChangedTo |
P121935
|
FINISHED |
| Object | U.S. state |
—
|
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: U.S. state | Statement: [Admission of Alabama as the 22nd U.S. state, legalStatusChangedTo, U.S. state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusChangedTo Context triple: [Admission of Alabama as the 22nd U.S. state, legalStatusChangedTo, U.S. state]
-
A.
legalStatusChangedIn
Indicates that an entity’s legal status was altered or reclassified within a specified jurisdiction, context, or time frame.
-
B.
legalStatusEvent
Indicates an event or action that changes, establishes, or affects the legal status or standing of an entity.
-
C.
legalStatusAfterEvent
chosen
Indicates the legal condition or classification an entity has as a result of a specified event or occurrence.
-
D.
legalStatusBefore
Indicates the legal condition or classification that applied to an entity prior to a specified event, change, or point in time.
-
E.
legalStatusAtIssue
Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 27, 2026, 9:33 a.m.