Triple

T9160691
Position Surface form Disambiguated ID Type / Status
Subject Rafael Cabrera Mustelier Airport E219812 entity
Predicate IATAcode P418 FINISHED
Object GER
GER is the IATA airport code for Rafael Cabrera Mustelier Airport, which serves Nueva Gerona on Cuba’s Isla de la Juventud.
 E782618 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: GER | Statement: [Rafael Cabrera Mustelier Airport, IATAcode, GER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GER
Context triple: [Rafael Cabrera Mustelier Airport, IATAcode, GER]
  • A. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • B. Ger
    Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
  • C. GES
    GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
  • D. EG
    EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
  • E. EG
    EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
  • 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: GER
Triple: [Rafael Cabrera Mustelier Airport, IATAcode, GER]
Generated description
GER is the IATA airport code for Rafael Cabrera Mustelier Airport, which serves Nueva Gerona on Cuba’s Isla de la Juventud.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GER
Target entity description: GER is the IATA airport code for Rafael Cabrera Mustelier Airport, which serves Nueva Gerona on Cuba’s Isla de la Juventud.
  • A. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • B. Ger
    Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
  • C. GES
    GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
  • D. EG
    EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
  • E. EG
    EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ac0508190b2f5c801c2c26d66 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547073cc8190999fe640c7ccd373 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d05560d6888190b4faf3406f9ff9f2 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d059161a1881909ceaaf8b0893dbea completed April 4, 2026, 12:19 a.m.
Created at: March 30, 2026, 7:21 p.m.