Triple
T18907525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurawski v. State of Texas |
E462503
|
entity |
| Predicate | plaintiffGroup |
P26870
|
FINISHED |
| Object | pregnant patients denied abortions in Texas |
—
|
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: pregnant patients denied abortions in Texas | Statement: [Zurawski v. State of Texas, plaintiffGroup, pregnant patients denied abortions in Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plaintiffGroup Context triple: [Zurawski v. State of Texas, plaintiffGroup, pregnant patients denied abortions in Texas]
-
A.
partyTypePlaintiffs
chosen
Indicates the classification or category of the parties serving as plaintiffs in a legal action.
-
B.
accusedGroup
Indicates that one group is formally charged or blamed by another party for committing a wrongdoing or offense.
-
C.
participantGroup
Indicates a relationship in which a set or group of entities jointly participate in a common event, activity, or interaction.
-
D.
allegedTargetGroup
Indicates that a group is claimed or suspected to be the intended target of an action, plan, or attack, without confirming that the claim is true.
-
E.
coPlaintiffWith
Indicates that two or more parties are jointly plaintiffs in the same legal case or lawsuit.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52dcb948190a5b6a783512bf7d6 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.