Triple

T18924594
Position Surface form Disambiguated ID Type / Status
Subject Protocol to Eliminate Illicit Trade in Tobacco Products E462942 entity
Predicate shortName P43 FINISHED
Object ITP
ITP is an international treaty under the WHO Framework Convention on Tobacco Control aimed at combating and eliminating illicit trade in tobacco products through coordinated global measures.
 E1349189 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: ITP | Statement: [Protocol to Eliminate Illicit Trade in Tobacco Products, shortName, ITP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ITP
Context triple: [Protocol to Eliminate Illicit Trade in Tobacco Products, shortName, ITP]
  • A. ITP
    ITP is the commonly used abbreviation for ITP Aero, a Spanish company specializing in the design, manufacture, and maintenance of aircraft engines and gas turbines.
  • B. IPT
    IPT is the IATA airport code for Williamsport Regional Airport in Pennsylvania, United States.
  • C. ITPFO
    ITPFO is the UN/LOCODE identifying the Italian port town of Portofino for international trade and transport purposes.
  • D. ITM
    ITM is a modern coordinate reference system used in Ireland for accurate mapping and surveying.
  • E. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • 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: ITP
Triple: [Protocol to Eliminate Illicit Trade in Tobacco Products, shortName, ITP]
Generated description
ITP is an international treaty under the WHO Framework Convention on Tobacco Control aimed at combating and eliminating illicit trade in tobacco products through coordinated global measures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ITP
Target entity description: ITP is an international treaty under the WHO Framework Convention on Tobacco Control aimed at combating and eliminating illicit trade in tobacco products through coordinated global measures.
  • A. ITP
    ITP is the commonly used abbreviation for ITP Aero, a Spanish company specializing in the design, manufacture, and maintenance of aircraft engines and gas turbines.
  • B. IPT
    IPT is the IATA airport code for Williamsport Regional Airport in Pennsylvania, United States.
  • C. ITPFO
    ITPFO is the UN/LOCODE identifying the Italian port town of Portofino for international trade and transport purposes.
  • D. ITM
    ITM is a modern coordinate reference system used in Ireland for accurate mapping and surveying.
  • E. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b77c188190b2274ef45d538508 completed April 20, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05911b50a881909c3bf87dfedf99aa completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a0592ab1f948190b9e08fa514275fda completed May 14, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05930752c88190a07218a8af7c79ea completed May 14, 2026, 9:16 a.m.
Created at: April 10, 2026, 11:59 a.m.