Triple
T132201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dobbs v. Jackson Women’s Health Organization |
E2675
|
entity |
| Predicate | termOfCourt |
P6918
|
FINISHED |
| Object | October Term 2021 |
—
|
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: October Term 2021 | Statement: [Dobbs v. Jackson Women’s Health Organization, termOfCourt, October Term 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termOfCourt Context triple: [Dobbs v. Jackson Women’s Health Organization, termOfCourt, October Term 2021]
-
A.
judgesTerm
Indicates that one entity formally evaluates or makes a judgment about a specific term or expression.
-
B.
judicialCircuit
Indicates the judicial circuit within which a legal entity, case, or jurisdiction is organized or falls under authority.
-
C.
judicialBody
Indicates that an entity serves as a court or tribunal with authority to adjudicate legal disputes or interpret and apply the law.
-
D.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
E.
numberOfCourts
Indicates the quantity of courts associated with or present at a given entity or location.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2564edb488190974dc00eb9ac37d9 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2585408c881908a25b5c61f300154 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.