Triple
T26572035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Alabama ex rel. John Patterson, Attorney General |
E666851
|
entity |
| Predicate | caseCaptionElement |
P122773
|
FINISHED |
| Object | State of Alabama |
—
|
NE NERFINISHED |
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: State of Alabama | Statement: [State of Alabama ex rel. John Patterson, Attorney General, caseCaptionElement, State of Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caseCaptionElement Context triple: [State of Alabama ex rel. John Patterson, Attorney General, caseCaptionElement, State of Alabama]
-
A.
courtTitle
Indicates the official judicial position or title held by a person within a court system.
-
B.
typicalCaseCaptionFormat
chosen
Indicates the standard or commonly used way of formatting the caption (title block) of a legal case or similar proceeding.
-
C.
caseLocation
Indicates the specific place or jurisdiction in which a case or legal matter is situated, filed, or adjudicated.
-
D.
caseNumber
Indicates the unique identifying number assigned to a particular legal or administrative case.
-
E.
titleAfterCase
Indicates that a title or designation is assigned to or used for an entity only after a particular case, event, or legal proceeding has occurred.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614a519f0819087c98f8b48d14cce |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:58 a.m.