Triple

T11506756
Position Surface form Disambiguated ID Type / Status
Subject Guatemalan Air Force E272804 entity
Predicate abbreviation P43 FINISHED
Object FAG
FAG is the acronym for the Guatemalan Air Force, the aerial warfare branch of Guatemala’s military responsible for air defense and support operations.
E929841 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: FAG | Statement: [Guatemalan Air Force, abbreviation, FAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAG
Context triple: [Guatemalan Air Force, abbreviation, FAG]
  • A. FAG
    FAG is a German handball club based in Göppingen, competing in national and international leagues.
  • B. SKF
    SKF is a Swedish multinational engineering company best known as one of the world’s leading manufacturers of bearings and related industrial technologies.
  • C. Fafnir Bearing Company
    Fafnir Bearing Company was a prominent American manufacturer of precision ball bearings that played a key role in industrial and aerospace applications during the 20th century.
  • D. FAW
    FAW is the commonly used abbreviation for the Football Association of Wales, the governing body for football in Wales.
  • E. Meritor
    Meritor is the abbreviated name of Meritor Savings Bank, FSB, a former U.S. financial institution that provided consumer and commercial banking services.
  • 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: FAG
Triple: [Guatemalan Air Force, abbreviation, FAG]
Generated description
FAG is the acronym for the Guatemalan Air Force, the aerial warfare branch of Guatemala’s military responsible for air defense and support operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FAG
Target entity description: FAG is the acronym for the Guatemalan Air Force, the aerial warfare branch of Guatemala’s military responsible for air defense and support operations.
  • A. FAG
    FAG is a German handball club based in Göppingen, competing in national and international leagues.
  • B. SKF
    SKF is a Swedish multinational engineering company best known as one of the world’s leading manufacturers of bearings and related industrial technologies.
  • C. Fafnir Bearing Company
    Fafnir Bearing Company was a prominent American manufacturer of precision ball bearings that played a key role in industrial and aerospace applications during the 20th century.
  • D. FAW
    FAW is the commonly used abbreviation for the Football Association of Wales, the governing body for football in Wales.
  • E. Meritor
    Meritor is the abbreviated name of Meritor Savings Bank, FSB, a former U.S. financial institution that provided consumer and commercial banking services.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db43a648190be859bec2fe9f43b completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624e6e5b88190a2c64dcea1d7791b completed April 20, 2026, 1:06 p.m.
NEDg Description generation batch_69e62cf224f881908badcdab6aea1aef completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e663ffedfc8190a2b51995c62d1e6b completed April 20, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:36 p.m.