Triple

T701045
Position Surface form Disambiguated ID Type / Status
Subject DS Logon E13998 entity
Predicate relatedTo P37 FINISHED
Object ID.me E13999 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: ID.me | Statement: [DS Logon, relatedTo, ID.me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ID.me
Context triple: [DS Logon, relatedTo, ID.me]
  • A. ID.me chosen
    ID.me is a digital identity verification platform widely used by government agencies and businesses to securely confirm users’ identities online.
  • B. Palestinian passport
    A Palestinian passport is a travel document issued to Palestinian residents that serves as proof of identity and nationality for international travel and legal purposes.
  • C. IDR
    IDR is the three-letter ISO 4217 currency code for the official currency of Indonesia, the Indonesian rupiah.
  • D. DNI
    DNI is the commonly used acronym for the Director of National Intelligence, the head of the U.S. intelligence community.
  • E. General Directorate of Civil Status
    The General Directorate of Civil Status is the Egyptian government authority responsible for managing citizens’ civil records, including births, deaths, marriages, and national identification documents.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a530f8948190ab56132d5a2ab5ef completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcae2ef88190a9ea1604429f048a completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.