Triple
T4089822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California v. Texas |
E87676
|
entity |
| Predicate | defendantsIncluded |
P43041
|
FINISHED |
| Object | federal government officials responsible for implementing the ACA |
—
|
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: federal government officials responsible for implementing the ACA | Statement: [California v. Texas, defendantsIncluded, federal government officials responsible for implementing the ACA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendantsIncluded Context triple: [California v. Texas, defendantsIncluded, federal government officials responsible for implementing the ACA]
-
A.
hasDefendants
chosen
Indicates that one or more entities serve as defendants in relation to a particular legal case or proceeding.
-
B.
defendantCount
Indicates the number of defendants involved in a particular legal case or proceeding.
-
C.
defendant
Indicates that an entity is the party accused or sued in a legal action or proceeding.
-
D.
coDefendant
Indicates that two or more parties are jointly named and involved as defendants in the same legal case or proceeding.
-
E.
defendantStatus
Indicates the legal condition or standing of a defendant within a judicial or law-enforcement process.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcab0a1c8190a1b0ca48ebc95b31 |
completed | March 9, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.