Triple

T30877109
Position Surface form Disambiguated ID Type / Status
Subject MUOS E786507 entity
Predicate userTerminalType P104198 FINISHED
Object portable terminals 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: portable terminals | Statement: [MUOS, userTerminalType, portable terminals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: userTerminalType
Context triple: [MUOS, userTerminalType, portable terminals]
  • A. defaultTerminalEmulator
    Indicates that one entity is configured or recognized as the standard or primary terminal emulator to be used by another entity or system.
  • B. TerminalEUsedFor
    Indicates that a terminal E is used for a particular purpose, function, or activity.
  • C. testedDeviceType chosen
    Indicates that one entity is the type or category of device on which another entity has been tested.
  • D. usedPlatformType
    Indicates that an entity makes use of or operates on a particular type or category of platform.
  • E. platformUsed
    Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
  • 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_69f224bae17c8190bb3a6a28e3d019df completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691d76a808190b24f5a4758a87832 completed May 3, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69f68b7d2794819092fef8a63f4f3de8 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:48 p.m.