Triple

T3831899
Position Surface form Disambiguated ID Type / Status
Subject MG ZS E91031 entity
Predicate marque P52247 FINISHED
Object MG E91030 NE FINISHED

How this triple was built (3 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: MG | Statement: [MG ZS, marque, MG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MG
Context triple: [MG ZS, marque, MG]
  • A. MG chosen
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • B. MGY
    MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
  • C. MGN
    MGN is the FAA airport code for Harbor Springs Municipal Airport, a public-use airfield serving Harbor Springs, Michigan.
  • D. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • E. MGA
    MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marque
Context triple: [MG ZS, marque, MG]
  • A. marksOn
    Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
  • B. markType
    Indicates the specific category or kind of mark associated with or applied to an entity.
  • C. marks
    Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
  • D. usedMark
    Indicates that one entity has employed or applied a particular mark, symbol, or indicator in some context or action.
  • E. distinctiveMarking
    Indicates that one entity bears a unique or distinguishing visual feature or pattern that sets it apart from others.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8787bc8190819a7af975b609df completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503fcddb481909690b708754d3d8a completed March 14, 2026, 6:45 a.m.
PD Predicate disambiguation batch_69aee74c2e04819094b94b3c0bac1806 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeeb828fb08190901d51edbe8bd304 completed March 9, 2026, 3:47 p.m.
Created at: March 9, 2026, 3:17 p.m.