Triple

T8420183
Position Surface form Disambiguated ID Type / Status
Subject Royal Malaysian Navy E198828 entity
Predicate abbreviation P43 FINISHED
Object TLDM
TLDM is the Malay-language abbreviation for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
 E732232 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: TLDM | Statement: [Royal Malaysian Navy, abbreviation, TLDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TLDM
Context triple: [Royal Malaysian Navy, abbreviation, TLDM]
  • A. TDM
    TDM is the commonly used abbreviation for the Malaysian Army, the land warfare branch of Malaysia’s armed forces.
  • B. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • C. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • D. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • 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: TLDM
Triple: [Royal Malaysian Navy, abbreviation, TLDM]
Generated description
TLDM is the Malay-language abbreviation for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TLDM
Target entity description: TLDM is the Malay-language abbreviation for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
  • A. TDM
    TDM is the commonly used abbreviation for the Malaysian Army, the land warfare branch of Malaysia’s armed forces.
  • B. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • C. 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.
  • D. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • E. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c941988190884a5c0cbb44bcc2 completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce03476b288190b3df8f9f4d502ea8 completed April 2, 2026, 5:48 a.m.
NEDg Description generation batch_69ce0782b0dc8190bf971eacb3b4582c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce0854ce788190a209f229d504c038 completed April 2, 2026, 6:10 a.m.
Created at: March 30, 2026, 6:06 p.m.