Triple

T15212494
Position Surface form Disambiguated ID Type / Status
Subject Stanley Airport E363549 entity
Predicate ICAO code P419 FINISHED
Object SFAL
SFAL is the ICAO airport code for Stanley Airport, the main airfield serving Stanley in the Falkland Islands.
 E1143604 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: SFAL | Statement: [Stanley Airport, ICAO code, SFAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFAL
Context triple: [Stanley Airport, ICAO code, SFAL]
  • A. FAS
    FAS is the acronym for the Salvadoran Air Force, the aerial warfare branch of El Salvador’s military.
  • B. FAS
    FAS is a component of the U.S. General Services Administration responsible for managing government-wide procurement of products and services.
  • C. FAS
    FAS is a U.S.-based nonprofit policy and research organization focused on science, technology, national security, and public policy issues.
  • D. FAS
    FAS is the commonly used abbreviation for the Faculty of Applied Sciences, an academic division focused on practical and technical scientific disciplines.
  • E. FAS
    FAS is the Foreign Agricultural Service, a U.S. government agency that promotes American agricultural exports and supports international food security and trade policy.
  • 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: SFAL
Triple: [Stanley Airport, ICAO code, SFAL]
Generated description
SFAL is the ICAO airport code for Stanley Airport, the main airfield serving Stanley in the Falkland Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFAL
Target entity description: SFAL is the ICAO airport code for Stanley Airport, the main airfield serving Stanley in the Falkland Islands.
  • A. FAS
    FAS is the acronym for the Salvadoran Air Force, the aerial warfare branch of El Salvador’s military.
  • B. FAS
    FAS is a component of the U.S. General Services Administration responsible for managing government-wide procurement of products and services.
  • C. FAS
    FAS is a U.S.-based nonprofit policy and research organization focused on science, technology, national security, and public policy issues.
  • D. FAS
    FAS is the commonly used abbreviation for the Faculty of Applied Sciences, an academic division focused on practical and technical scientific disciplines.
  • E. FAS
    FAS is the Foreign Agricultural Service, a U.S. government agency that promotes American agricultural exports and supports international food security and trade policy.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076c9e2481909d7a464b2172f4bf completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed341cfb8819086b386c6cb905eda completed May 9, 2026, 6:25 a.m.
NEDg Description generation batch_69fed45bfb0c8190a0a02c51b027bd64 completed May 9, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69fed4c6aaf88190af2f1d3a1280b825 completed May 9, 2026, 6:31 a.m.
Created at: April 10, 2026, 3:11 a.m.