Triple

T17671862
Position Surface form Disambiguated ID Type / Status
Subject George Airport E440538 entity
Predicate ICAOcode P419 FINISHED
Object FAGG
FAGG is the ICAO airport code for George Airport in George, South Africa.
 E1281181 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: FAGG | Statement: [George Airport, ICAOcode, FAGG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAGG
Context triple: [George Airport, ICAOcode, FAGG]
  • A. FAGC
    FAGC is the ICAO airport code assigned to Grand Central Airport in South Africa.
  • B. FAK
    FAK is the official abbreviation for the Royal Danish Defence College, Denmark’s primary institution for military education and research.
  • C. 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.
  • D. FAG
    FAG is a German handball club based in Göppingen, competing in national and international leagues.
  • E. FUGA
    FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
  • 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: FAGG
Triple: [George Airport, ICAOcode, FAGG]
Generated description
FAGG is the ICAO airport code for George Airport in George, South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAGG
Target entity description: FAGG is the ICAO airport code for George Airport in George, South Africa.
  • A. FAGC
    FAGC is the ICAO airport code assigned to Grand Central Airport in South Africa.
  • B. FAK
    FAK is the official abbreviation for the Royal Danish Defence College, Denmark’s primary institution for military education and research.
  • C. 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.
  • D. FAG
    FAG is a German handball club based in Göppingen, competing in national and international leagues.
  • E. FUGA
    FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f69b11c8190b09add33f81776b3 completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02166234f0819099c452808234e3e4 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a0217ca2ec881908573b0423c3610f7 completed May 11, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0218636e048190a48bc7f066c7bee1 completed May 11, 2026, 5:56 p.m.
Created at: April 10, 2026, 9:59 a.m.