Triple

T15214680
Position Surface form Disambiguated ID Type / Status
Subject Colegrove v. Green E363606 entity
Predicate hasPetitioner P3132 FINISHED
Object Colegrove
Colegrove is the named petitioner in the U.S. Supreme Court case Colegrove v. Green, which addressed issues of legislative apportionment and political representation.
 E1143443 NE FINISHED

How this triple was built (4 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: Colegrove | Statement: [Colegrove v. Green, hasPetitioner, Colegrove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colegrove
Context triple: [Colegrove v. Green, hasPetitioner, Colegrove]
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Ketcham
    Ketcham is a supporting character in the 1970 Western film "Rio Lobo," which stars John Wayne.
  • C. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • D. Ward Hill
    Ward Hill is the highest point on Mainland Orkney in Scotland, known for its prominent, rounded summit and sweeping views over the surrounding islands.
  • E. Ward Hill
    Ward Hill is a prominent hill on the Orkney island of Hoy in Scotland, known for its sweeping views and rugged, heather-covered slopes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Colegrove
Triple: [Colegrove v. Green, hasPetitioner, Colegrove]
Generated description
Colegrove is the named petitioner in the U.S. Supreme Court case Colegrove v. Green, which addressed issues of legislative apportionment and political representation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colegrove
Target entity description: Colegrove is the named petitioner in the U.S. Supreme Court case Colegrove v. Green, which addressed issues of legislative apportionment and political representation.
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Ketcham
    Ketcham is a supporting character in the 1970 Western film "Rio Lobo," which stars John Wayne.
  • C. Southworth
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • D. Ward Hill
    Ward Hill is the highest point on Mainland Orkney in Scotland, known for its prominent, rounded summit and sweeping views over the surrounding islands.
  • E. Ward Hill
    Ward Hill is a prominent hill on the Orkney island of Hoy in Scotland, known for its sweeping views and rugged, heather-covered slopes.
  • F. None of above. chosen

Provenance (5 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076e4348819091fa91c1562e7c5c completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
NEDg Description generation batch_69fed44b2e3c8190aad111e2bc2b56a2 completed May 9, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69fed547192c8190b89755fff48ca620 completed May 9, 2026, 6:33 a.m.
Created at: April 10, 2026, 3:11 a.m.