Triple

T6440188
Position Surface form Disambiguated ID Type / Status
Subject ASEAN Ministerial Meeting on Transnational Crime E138197 entity
Predicate shortName P43 FINISHED
Object AMMTC
AMMTC is a high-level ASEAN forum where ministers coordinate regional policies and cooperation to combat transnational crime.
 E594959 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: AMMTC | Statement: [ASEAN Ministerial Meeting on Transnational Crime, shortName, AMMTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMMTC
Context triple: [ASEAN Ministerial Meeting on Transnational Crime, shortName, AMMTC]
  • A. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • B. AMM
    AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
  • C. AMCU
    AMCU is the Australian Defence Force’s modern combat uniform pattern designed to provide effective camouflage across a wide range of Australian environments.
  • D. TMTA
    TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
  • E. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • 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: AMMTC
Triple: [ASEAN Ministerial Meeting on Transnational Crime, shortName, AMMTC]
Generated description
AMMTC is a high-level ASEAN forum where ministers coordinate regional policies and cooperation to combat transnational crime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMMTC
Target entity description: AMMTC is a high-level ASEAN forum where ministers coordinate regional policies and cooperation to combat transnational crime.
  • A. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • B. AMM
    AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
  • C. AMCU
    AMCU is the Australian Defence Force’s modern combat uniform pattern designed to provide effective camouflage across a wide range of Australian environments.
  • D. TMTA
    TMTA was the stock ticker symbol for Transmeta Corporation, a now-defunct American semiconductor company known for its low-power x86-compatible microprocessors.
  • E. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06967241c8190965bac395adf2d03 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bc1ccdc8190a171281a846173c0 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64f8c3df08190986343f78e7a066a completed March 27, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c6501b1b6481908cead1450402752b completed March 27, 2026, 9:38 a.m.
Created at: March 22, 2026, 4:46 p.m.