Triple

T17422884
Position Surface form Disambiguated ID Type / Status
Subject Saint-Louis Airport E423661 entity
Predicate ICAOcode P419 FINISHED
Object GOSS
GOSS is the ICAO airport code for Saint-Louis Airport in Senegal, used in international aviation for flight planning and air traffic control.
 E1267737 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: GOSS | Statement: [Saint-Louis Airport, ICAOcode, GOSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GOSS
Context triple: [Saint-Louis Airport, ICAOcode, GOSS]
  • A. GOS
    GOS is the abbreviation for the Grand Orient of Spain, a major Masonic obedience historically active in Spanish Freemasonry.
  • B. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • C. GSS
    GSS is the common English abbreviation for Israel’s internal security service, also known as the Shin Bet.
  • D. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • E. GOU
    GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
  • 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: GOSS
Triple: [Saint-Louis Airport, ICAOcode, GOSS]
Generated description
GOSS is the ICAO airport code for Saint-Louis Airport in Senegal, used in international aviation for flight planning and air traffic control.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GOSS
Target entity description: GOSS is the ICAO airport code for Saint-Louis Airport in Senegal, used in international aviation for flight planning and air traffic control.
  • A. GOS
    GOS is the abbreviation for the Grand Orient of Spain, a major Masonic obedience historically active in Spanish Freemasonry.
  • B. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • C. GSS
    GSS is the common English abbreviation for Israel’s internal security service, also known as the Shin Bet.
  • D. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • E. GOU
    GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44238b418819095c6a013d3ff3b17 completed April 19, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a80670bc8190aa8c7651e8973bb3 completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01aa8b777c81909b8a4a5e790634e8 completed May 11, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a01ab5a7a408190a457ddef4a0a7b09 completed May 11, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:46 a.m.