Triple

T1488680
Position Surface form Disambiguated ID Type / Status
Subject Tenerife South Airport E29526 entity
Predicate IATAcode P418 FINISHED
Object TFS
TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
 E170976 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: TFS | Statement: [Tenerife South Airport, IATAcode, TFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TFS
Context triple: [Tenerife South Airport, IATAcode, TFS]
  • A. TeamSystem
    TeamSystem is an Italian software company specializing in business management and accounting solutions for small and medium-sized enterprises.
  • B. Visual Studio
    Visual Studio is Microsoft's integrated development environment (IDE) used for building, debugging, and deploying applications across Windows, web, cloud, and mobile platforms.
  • C. Microsoft Teams
    Microsoft Teams is a collaboration and communication platform by Microsoft that provides chat, video conferencing, file sharing, and integration with other Microsoft 365 services for teams and organizations.
  • D. SVN
    SVN is the IATA airport code for Hunter Army Airfield, a U.S. military airfield located near Savannah, Georgia.
  • E. SVN
    SVN is the three-letter ISO 3166-1 alpha-3 country code assigned to Slovenia.
  • 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: TFS
Triple: [Tenerife South Airport, IATAcode, TFS]
Generated description
TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TFS
Target entity description: TFS is the IATA airport code for Tenerife South Airport, a major international gateway to Spain’s Canary Islands.
  • A. TeamSystem
    TeamSystem is an Italian software company specializing in business management and accounting solutions for small and medium-sized enterprises.
  • B. Visual Studio
    Visual Studio is Microsoft's integrated development environment (IDE) used for building, debugging, and deploying applications across Windows, web, cloud, and mobile platforms.
  • C. Microsoft Teams
    Microsoft Teams is a collaboration and communication platform by Microsoft that provides chat, video conferencing, file sharing, and integration with other Microsoft 365 services for teams and organizations.
  • D. SVN
    SVN is the IATA airport code for Hunter Army Airfield, a U.S. military airfield located near Savannah, Georgia.
  • E. SVN
    SVN is the three-letter ISO 3166-1 alpha-3 country code assigned to Slovenia.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a6095481909e9d406ac9a41828 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca7804c8190b6818ff344908028 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1cfdd8788190b3c9f6e0d49ec350 completed March 8, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad1d75f4f8819090c397a4b2d3f839 completed March 8, 2026, 6:55 a.m.
Created at: March 1, 2026, 8:12 p.m.