Triple

T26573135

Position	Surface form	Disambiguated ID	Type / Status
Subject	City of Columbia v. Omni Outdoor Advertising, Inc.	`E666878`	entity
Predicate	holding	`P2237`	FINISHED
Object	The Noerr-Pennington doctrine protects petitioning of government even when the petitioner’s intent is to eliminate competition, absent sham.	`—`	NE NERFINISHED

How this triple was built (1 step)

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: The Noerr-Pennington doctrine protects petitioning of government even when the petitioner’s intent is to eliminate competition, absent sham. | Statement: [City of Columbia v. Omni Outdoor Advertising, Inc., holding, The Noerr-Pennington doctrine protects petitioning of government even when the petitioner’s intent is to eliminate competition, absent sham.]

Provenance (2 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_69f614a659748190a89f7b86055fa624`	completed	May 2, 2026, 3:13 p.m.

Created at: April 27, 2026, 1:59 a.m.