Triple

T3242540
Position Surface form Disambiguated ID Type / Status
Subject Guardiamarina Zañartu Airport E67994 entity
Predicate ICAOcode P419 FINISHED
Object SCGZ
SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
E339680 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: SCGZ | Statement: [Guardiamarina Zañartu Airport, ICAOcode, SCGZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCGZ
Context triple: [Guardiamarina Zañartu Airport, ICAOcode, SCGZ]
  • A. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • B. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • C. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • D. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • E. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • 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: SCGZ
Triple: [Guardiamarina Zañartu Airport, ICAOcode, SCGZ]
Generated description
SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SCGZ
Target entity description: SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • A. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • B. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • C. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • D. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • E. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf17463481909447f6ab46016407 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27757dff0819081a26aea52ede49d completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27846372c8190a5c96158bf2a5ff2 completed March 12, 2026, 8:24 a.m.
NED2 Entity disambiguation (via description) batch_69b2791ac4a08190a1cee3cfbca6e6d6 completed March 12, 2026, 8:28 a.m.
Created at: March 8, 2026, 3:08 p.m.