Triple

T3390096
Position Surface form Disambiguated ID Type / Status
Subject Marine Corps utility uniforms E71395 entity
Predicate hasCamouflagePattern P1200 FINISHED
Object MARPAT desert E208327 NE 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: MARPAT desert | Statement: [Marine Corps utility uniforms, hasCamouflagePattern, MARPAT desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARPAT desert
Context triple: [Marine Corps utility uniforms, hasCamouflagePattern, MARPAT desert]
  • A. MARPAT chosen
    MARPAT is a digital camouflage pattern developed by the United States Marine Corps, known for its pixelated design that effectively disrupts visual detection in various environments.
  • B. Desert Camouflage Uniform
    The Desert Camouflage Uniform was a U.S. military battle dress uniform featuring a tan-based camouflage pattern designed for arid and desert environments.
  • C. Mollet
    Mollet is a French surname most notably borne by Guy Mollet, a mid-20th-century French socialist politician and former Prime Minister.
  • D. Cappa
    Cappa is the stage name and common nickname of Cappadonna, an American rapper closely associated with the Wu-Tang Clan.
  • E. Velvet Brown
    Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb6682c708190b76a7a16cee7c5aa completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3345a95ac819098be25233b8e0ed5 completed March 12, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:14 p.m.