Triple

T20769517
Position Surface form Disambiguated ID Type / Status
Subject Adélie Land E511186 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object TF
TF is the ISO 3166-1 alpha-2 country code for the French Southern Territories, a French overseas territory in the southern Indian Ocean and Antarctica.
 E1449368 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: TF | Statement: [Adélie Land, ISO3166-1Alpha2, TF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TF
Context triple: [Adélie Land, ISO3166-1Alpha2, TF]
  • A. TF
    TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
  • B. TF
    TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • C. TF
    TF is the abbreviation for the Faculty of Engineering at the University of Freiburg, a German institution focused on engineering and technology education and research.
  • D. TF
    TF is the vehicle registration code used on license plates for the district of Teltow-Fläming in the German state of Brandenburg.
  • E. TF
    TF is the IATA airline designator assigned to Braathens Regional Airlines, a Swedish regional carrier.
  • 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: TF
Triple: [Adélie Land, ISO3166-1Alpha2, TF]
Generated description
TF is the ISO 3166-1 alpha-2 country code for the French Southern Territories, a French overseas territory in the southern Indian Ocean and Antarctica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TF
Target entity description: TF is the ISO 3166-1 alpha-2 country code for the French Southern Territories, a French overseas territory in the southern Indian Ocean and Antarctica.
  • A. TF
    TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
  • B. TF
    TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • C. TF
    TF is the abbreviation for the Faculty of Engineering at the University of Freiburg, a German institution focused on engineering and technology education and research.
  • D. TF
    TF is the IATA airline designator assigned to Braathens Regional Airlines, a Swedish regional carrier.
  • E. TF
    TF is the vehicle registration code used on license plates for the district of Teltow-Fläming in the German state of Brandenburg.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c265f7dc8190a084e35d38d2783a completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef8f7e34819098b437ff3d11e151 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f142e1b88190a57d9cf71870b3dd completed May 16, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_6a08f1cdbf688190bb64850ec034c54b completed May 16, 2026, 10:38 p.m.
Created at: April 16, 2026, 12:36 p.m.