Triple

T1865545
Position Surface form Disambiguated ID Type / Status
Subject Universal Camouflage Pattern E34911 entity
Predicate alsoKnownAs P39 FINISHED
Object ACUPAT E34912 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: ACUPAT | Statement: [Universal Camouflage Pattern, alsoKnownAs, ACUPAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACUPAT
Context triple: [Universal Camouflage Pattern, alsoKnownAs, ACUPAT]
  • A. ACUPAT chosen
    ACUPAT is a digital camouflage pattern used by the U.S. Army as part of the Army Combat Uniform to provide concealment across multiple environments.
  • B. ACP
    ACP is a major U.S.-based professional organization of internal medicine physicians dedicated to education, advocacy, and the advancement of clinical practice.
  • C. ACP
    ACP is the Spanish-language acronym for the Panama Canal Authority, the autonomous government agency that manages and operates the Panama Canal.
  • D. ACAP
    ACAP (Application Configuration Access Protocol) is an Internet protocol designed to store and manage user preferences and configuration data on a remote server, enabling consistent settings across multiple clients and devices.
  • E. ACES
    ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0a208e481908406c008f700a585 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1d540c0819099558507bdf2ffa4 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:34 p.m.