Triple

T10585746
Position Surface form Disambiguated ID Type / Status
Subject Lufthansa Cargo E249848 entity
Predicate offersProduct P10882 FINISHED
Object td.Pro
td.Pro is a specialized logistics or technology solution associated with Lufthansa Cargo, likely designed to optimize or support air freight and cargo operations.
 E873242 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: td.Pro | Statement: [Lufthansa Cargo, offersProduct, td.Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: td.Pro
Context triple: [Lufthansa Cargo, offersProduct, td.Pro]
  • A. t_P
    t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
  • B. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • C. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • D. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • E. tabla
    The tabla is a pair of hand-played drums central to North Indian classical and folk music, known for its complex rhythms and tonal versatility.
  • 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: td.Pro
Triple: [Lufthansa Cargo, offersProduct, td.Pro]
Generated description
td.Pro is a specialized logistics or technology solution associated with Lufthansa Cargo, likely designed to optimize or support air freight and cargo operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: td.Pro
Target entity description: td.Pro is a specialized logistics or technology solution associated with Lufthansa Cargo, likely designed to optimize or support air freight and cargo operations.
  • A. t_P
    t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
  • B. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • C. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • D. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • E. tabla
    The tabla is a pair of hand-played drums central to North Indian classical and folk music, known for its complex rhythms and tonal versatility.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527698be48190a2f5e573d7cc0661 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b8b1b708190865e428128f98720 completed April 10, 2026, 7:12 p.m.
NEDg Description generation batch_69d94d67e16481908efb939a3e65004c completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d95227a1f48190ab847606a9ae0500 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:39 p.m.