Triple

T2569786
Position Surface form Disambiguated ID Type / Status
Subject Armenia Time E57636 entity
Predicate abbreviation P43 FINISHED
Object AMT
AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
 E280316 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: AMT | Statement: [Armenia Time, abbreviation, AMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMT
Context triple: [Armenia Time, abbreviation, AMT]
  • A. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • B. AMF
    AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
  • C. ATN
    ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
  • D. ATMB
    ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
  • E. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • 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: AMT
Triple: [Armenia Time, abbreviation, AMT]
Generated description
AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMT
Target entity description: AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
  • A. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • B. AMF
    AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
  • C. ATN
    ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
  • D. ATMB
    ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
  • E. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd380d6e081909c124e8a0b7feef3 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af656d7dec81909ea0aae4506cf4e3 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af6756b9208190b7f7dc19f412c996 completed March 10, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69af67bdae888190acd5c086158f747d completed March 10, 2026, 12:37 a.m.
Created at: March 6, 2026, 9:48 p.m.