Triple

T8948595
Position Surface form Disambiguated ID Type / Status
Subject STS-121 E213285 entity
Predicate issAssemblyFlight P62136 FINISHED
Object ULF1.1
ULF1.1 was the ISS assembly and resupply mission designation associated with Space Shuttle Discovery’s STS-121 flight to the International Space Station.
E768273 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: ULF1.1 | Statement: [STS-121, issAssemblyFlight, ULF1.1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ULF1.1
Context triple: [STS-121, issAssemblyFlight, ULF1.1]
  • A. LUF
    LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
  • B. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • C. U1
    U1 is one of Berlin’s oldest and most central U-Bahn lines, running predominantly east–west through inner-city districts and serving key cultural and nightlife areas.
  • D. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • 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: ULF1.1
Triple: [STS-121, issAssemblyFlight, ULF1.1]
Generated description
ULF1.1 was the ISS assembly and resupply mission designation associated with Space Shuttle Discovery’s STS-121 flight to the International Space Station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ULF1.1
Target entity description: ULF1.1 was the ISS assembly and resupply mission designation associated with Space Shuttle Discovery’s STS-121 flight to the International Space Station.
  • A. LUF
    LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
  • B. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • C. U1
    U1 is one of Berlin’s oldest and most central U-Bahn lines, running predominantly east–west through inner-city districts and serving key cultural and nightlife areas.
  • D. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • E. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6709c7a48190ab503083a1d6a29f completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc206550c8190abf016f25b14fa64 completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc3f170a08190a2cab07eb280ee3b completed April 3, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfc476204481909f0baaf400483f33 completed April 3, 2026, 1:45 p.m.
Created at: March 30, 2026, 6:59 p.m.