Triple

T17562000
Position Surface form Disambiguated ID Type / Status
Subject Venezuelan Air Force E427713 entity
Predicate abbreviation P43 FINISHED
Object AMB
AMB is the official acronym for the Venezuelan Air Force, the aerial warfare branch of Venezuela’s armed forces.
 E1275637 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: AMB | Statement: [Venezuelan Air Force, abbreviation, AMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMB
Context triple: [Venezuelan Air Force, abbreviation, AMB]
  • A. AMB
    AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
  • B. AMB
    AMB is the station code for Ambelokipi, a metro station on the Athens Metro network in Greece.
  • C. Amb
    Amb is a town in the Una district of Himachal Pradesh, India, known as a local commercial and transportation hub.
  • D. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • E. AMA
    AMA is the three-letter IATA airport code for Rick Husband Amarillo International Airport in Amarillo, Texas.
  • 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: AMB
Triple: [Venezuelan Air Force, abbreviation, AMB]
Generated description
AMB is the official acronym for the Venezuelan Air Force, the aerial warfare branch of Venezuela’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMB
Target entity description: AMB is the official acronym for the Venezuelan Air Force, the aerial warfare branch of Venezuela’s armed forces.
  • A. AMB
    AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
  • B. AMB
    AMB is the station code for Ambelokipi, a metro station on the Athens Metro network in Greece.
  • C. Amb
    Amb is a town in the Una district of Himachal Pradesh, India, known as a local commercial and transportation hub.
  • D. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • E. AMA
    AMA is the three-letter IATA airport code for Rick Husband Amarillo International Airport in Amarillo, Texas.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456274c888190ac80402e391674dd completed April 19, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d29694a8819095351b929cfaf324 completed May 11, 2026, 12:59 p.m.
NEDg Description generation batch_6a01d4436b448190bff8710eac0ce569 completed May 11, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_6a01d49cb9c081908b07b87ec3b2a133 completed May 11, 2026, 1:07 p.m.
Created at: April 10, 2026, 5:50 a.m.