Triple

T4754233
Position Surface form Disambiguated ID Type / Status
Subject Fitiuta Airport E105548 entity
Predicate IATAcode P418 FINISHED
Object FTI
FTI is the IATA airport code for Fitiuta Airport, a small public airport serving the village of Fitiuta on the island of Taʻū in American Samoa.
 E467568 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: FTI | Statement: [Fitiuta Airport, IATAcode, FTI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FTI
Context triple: [Fitiuta Airport, IATAcode, FTI]
  • A. TFI
    TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
  • B. TFI
    TFI is the stock ticker symbol for the French media conglomerate TF1 Group, which operates television channels and related media services.
  • C. TFI
    TFI is the commonly used abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • D. MFTI
    MFTI is a leading Russian university renowned for its rigorous training and research in physics, mathematics, and related technical sciences.
  • E. EFTI
    EFTI is a Swedish film production company known for its involvement in acclaimed Scandinavian cinema, including the horror drama "Let the Right One In."
  • 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: FTI
Triple: [Fitiuta Airport, IATAcode, FTI]
Generated description
FTI is the IATA airport code for Fitiuta Airport, a small public airport serving the village of Fitiuta on the island of Taʻū in American Samoa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FTI
Target entity description: FTI is the IATA airport code for Fitiuta Airport, a small public airport serving the village of Fitiuta on the island of Taʻū in American Samoa.
  • A. TFI
    TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
  • B. TFI
    TFI is the stock ticker symbol for the French media conglomerate TF1 Group, which operates television channels and related media services.
  • C. TFI
    TFI is the commonly used abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • D. MFTI
    MFTI is a leading Russian university renowned for its rigorous training and research in physics, mathematics, and related technical sciences.
  • E. EFTI
    EFTI is a Swedish film production company known for its involvement in acclaimed Scandinavian cinema, including the horror drama "Let the Right One In."
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e882b08190b100582e6d2e0334 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a6600e481909c3fb1decf23d7d8 completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3d05e8a081908cdcb37620078fa6 completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3daa7e0081908971df65613c9df6 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:20 p.m.