Triple

T2814221
Position Surface form Disambiguated ID Type / Status
Subject Queen Mary E54243 entity
Predicate callSign P1565 FINISHED
Object GBTT
GBTT is the historic radio call sign assigned to the British ocean liner RMS Queen Mary.
 E300696 NE FINISHED

How this triple was built (4 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: GBTT | Statement: [Queen Mary, callSign, GBTT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GBTT
Context triple: [Queen Mary, callSign, GBTT]
  • A. BG
    BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
  • B. GBE
    GBE is the highest grade of the Order of the British Empire, typically awarded for exceptionally distinguished service to the arts, sciences, public services, or charitable work.
  • C. EBGT
    EBGT is the ICAO airport code for Gavere-Semmerzake Airfield, a small airfield in Belgium.
  • D. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • E. GG
    GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GBTT
Triple: [Queen Mary, callSign, GBTT]
Generated description
GBTT is the historic radio call sign assigned to the British ocean liner RMS Queen Mary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GBTT
Target entity description: GBTT is the historic radio call sign assigned to the British ocean liner RMS Queen Mary.
  • A. BG
    BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
  • B. GBE
    GBE is the highest grade of the Order of the British Empire, typically awarded for exceptionally distinguished service to the arts, sciences, public services, or charitable work.
  • C. EBGT
    EBGT is the ICAO airport code for Gavere-Semmerzake Airfield, a small airfield in Belgium.
  • D. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • E. GG
    GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
  • F. None of above. chosen

Provenance (5 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4ba34c819085a336498fc326b0 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9f964081909e422aaf1f026dbb completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf12e3a0819098f28d31434a0c5f completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcf9c2d308190b111aa8038c9227a completed March 10, 2026, 8 a.m.
Created at: March 6, 2026, 9:59 p.m.