Triple

T4072706
Position Surface form Disambiguated ID Type / Status
Subject Malaysian Army E86684 entity
Predicate shortName P43 FINISHED
Object TDM
TDM is the commonly used abbreviation for the Malaysian Army, the land warfare branch of Malaysia’s armed forces.
 E410359 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: TDM | Statement: [Malaysian Army, shortName, TDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TDM
Context triple: [Malaysian Army, shortName, TDM]
  • A. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • B. RDM
    RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
  • C. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • D. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • E. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • 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: TDM
Triple: [Malaysian Army, shortName, TDM]
Generated description
TDM is the commonly used abbreviation for the Malaysian Army, the land warfare branch of Malaysia’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TDM
Target entity description: TDM is the commonly used abbreviation for the Malaysian Army, the land warfare branch of Malaysia’s armed forces.
  • A. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • B. RDM
    RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
  • C. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • D. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • E. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc22be988190a2b6575d4f5e0f7b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b99e84819085e1616fb9a61465 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563ced83c81908d7eff6a54b3b66c completed March 14, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69b564893f44819086ffe89101217f53 completed March 14, 2026, 1:37 p.m.
Created at: March 9, 2026, 3:38 p.m.