Triple

T1362363
Position Surface form Disambiguated ID Type / Status
Subject DeBoer v. Snyder E29124 entity
Predicate districtCourtRelief P17993 FINISHED
Object ban on same-sex marriage struck down 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: ban on same-sex marriage struck down | Statement: [DeBoer v. Snyder, districtCourtRelief, ban on same-sex marriage struck down]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: districtCourtRelief
Context triple: [DeBoer v. Snyder, districtCourtRelief, ban on same-sex marriage struck down]
  • A. courtOrdered
    Indicates that an action, condition, or relationship exists because it has been formally mandated or imposed by a court order.
  • B. trialCourt
    Indicates that a legal matter, decision, or proceeding is associated with, handled by, or occurring in a court of first instance (the trial-level court).
  • C. reliefGranted chosen
    Indicates that a requested form of assistance, exemption, or remedy has been officially approved and provided.
  • D. affectedCourt
    Indicates that a particular court is impacted or influenced by a specified action, decision, or legal matter.
  • E. typeOfAppeals
    Indicates the specific category or kind of appeals associated with or applied to a given case, decision, or legal action.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b4ab3c8190ad692e32eee05976 completed March 1, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69a4bef945c08190a027472fdd695ea5 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:57 p.m.