Triple

T21512266
Position Surface form Disambiguated ID Type / Status
Subject Gao International Airport E530755 entity
Predicate hasICAOCode P419 FINISHED
Object GAGO
GAGO is the ICAO airport code for Gao International Airport, a public airport serving the city of Gao in Mali.
E1487786 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: GAGO | Statement: [Gao International Airport, hasICAOCode, GAGO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GAGO
Context triple: [Gao International Airport, hasICAOCode, GAGO]
  • A. GAAGO
    GAAGO is an online sports streaming service that provides live and on-demand coverage of Gaelic games to audiences in Ireland and worldwide.
  • B. Gogo
    Gogo is an in-flight internet service provider known for supplying Wi-Fi connectivity on commercial airlines.
  • C. Gogo
    Gogo is a mysterious, masked mimic character in Final Fantasy VI known for their ability to copy allies’ commands in battle.
  • D. Gogo
    Gogo is the nickname of Estragon, one of the two tramps in Samuel Beckett’s play "Waiting for Godot."
  • E. Gogo
    Gogo is a diminutive form of the given name Georgi, commonly used as an affectionate nickname.
  • 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: GAGO
Triple: [Gao International Airport, hasICAOCode, GAGO]
Generated description
GAGO is the ICAO airport code for Gao International Airport, a public airport serving the city of Gao in Mali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GAGO
Target entity description: GAGO is the ICAO airport code for Gao International Airport, a public airport serving the city of Gao in Mali.
  • A. GAAGO
    GAAGO is an online sports streaming service that provides live and on-demand coverage of Gaelic games to audiences in Ireland and worldwide.
  • B. Gogo
    Gogo is the nickname of Estragon, one of the two tramps in Samuel Beckett’s play "Waiting for Godot."
  • C. Gogo
    Gogo is an in-flight internet service provider known for supplying Wi-Fi connectivity on commercial airlines.
  • D. Gogo
    Gogo is a diminutive form of the given name Georgi, commonly used as an affectionate nickname.
  • E. Gogo
    Gogo is a mysterious, masked mimic character in Final Fantasy VI known for their ability to copy allies’ commands in battle.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea8779c081908171c58d345d54ae completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e145ac5c8190a05cc2a80d28cac3 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1fc4f7881909e198768cdb43747 completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2c86858819092216c12d8aa3348 completed May 17, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:25 p.m.