Triple

T2205918
Position Surface form Disambiguated ID Type / Status
Subject Transportation Services Index E50795 entity
Predicate abbreviation P43 FINISHED
Object TSI
TSI is a U.S. economic indicator that tracks the volume of freight and passenger transportation services to gauge activity in the transportation sector and broader economy.
 E245783 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: TSI | Statement: [Transportation Services Index, abbreviation, TSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TSI
Context triple: [Transportation Services Index, abbreviation, TSI]
  • A. TISX
    TISX is the ICAO airport code for Henry E. Rohlsen Airport on the island of St. Croix in the U.S. Virgin Islands.
  • B. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • C. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • D. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • E. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • 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: TSI
Triple: [Transportation Services Index, abbreviation, TSI]
Generated description
TSI is a U.S. economic indicator that tracks the volume of freight and passenger transportation services to gauge activity in the transportation sector and broader economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TSI
Target entity description: TSI is a U.S. economic indicator that tracks the volume of freight and passenger transportation services to gauge activity in the transportation sector and broader economy.
  • A. TISX
    TISX is the ICAO airport code for Henry E. Rohlsen Airport on the island of St. Croix in the U.S. Virgin Islands.
  • B. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • C. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • D. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • E. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfca300c81908b33debafa77d152 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae654b89b081908f8c8b9bfc0b6579 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae667dede88190b3d1f8bb8866e19e completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66f12c648190a146de7b2bfdb541 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:46 p.m.