Triple

T4131088
Position Surface form Disambiguated ID Type / Status
Subject milConnect E85042 entity
Predicate authenticationMethod P1687 FINISHED
Object DS Logon E13998 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: DS Logon | Statement: [milConnect, authenticationMethod, DS Logon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DS Logon
Context triple: [milConnect, authenticationMethod, DS Logon]
  • A. DS Logon chosen
    DS Logon is a secure, Department of Defense-managed online credential that allows eligible service members, veterans, and their families to access various military and VA benefit websites and services.
  • B. DSN
    DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
  • C. Logres
    Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
  • D. SSO
    SSO is the standard abbreviation for Ship Security Officer, the designated person responsible for a vessel’s security under international maritime regulations.
  • E. SL Access
    SL Access is Stockholm's public transport smart card and ticketing system used for travel on buses, trains, and other SL services.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af021f6a508190b8ac1e0d8b859f74 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c26d4c81909b8be74855cbd03f completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:42 p.m.