Triple

T17121621
Position Surface form Disambiguated ID Type / Status
Subject Williams International E415479 entity
Predicate hasEngineFamily P18926 FINISHED
Object FJX-2
The FJX-2 is an experimental small turbofan jet engine developed by Williams International for very light aircraft and advanced propulsion research.
E1250659 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: FJX-2 | Statement: [Williams International, hasEngineFamily, FJX-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FJX-2
Context triple: [Williams International, hasEngineFamily, FJX-2]
  • A. GJ-24
    GJ-24 is the vehicle registration code assigned to motor vehicles registered in Patan district of Gujarat, India.
  • B. J200
    J200 is the market data vendor code used to identify the FTSE/JSE Top 40 Index in financial data systems.
  • C. J200
    J200 is the internal chassis code designating the third-generation Lexus LX full-size luxury SUV.
  • D. GJ-25
    GJ-25 is the vehicle registration code assigned to the Porbandar district in the Indian state of Gujarat.
  • E. F-2
    F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
  • 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: FJX-2
Triple: [Williams International, hasEngineFamily, FJX-2]
Generated description
The FJX-2 is an experimental small turbofan jet engine developed by Williams International for very light aircraft and advanced propulsion research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FJX-2
Target entity description: The FJX-2 is an experimental small turbofan jet engine developed by Williams International for very light aircraft and advanced propulsion research.
  • A. GJ-24
    GJ-24 is the vehicle registration code assigned to motor vehicles registered in Patan district of Gujarat, India.
  • B. J200
    J200 is the market data vendor code used to identify the FTSE/JSE Top 40 Index in financial data systems.
  • C. J200
    J200 is the internal chassis code designating the third-generation Lexus LX full-size luxury SUV.
  • D. GJ-25
    GJ-25 is the vehicle registration code assigned to the Porbandar district in the Indian state of Gujarat.
  • E. F-2
    F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e809ee888190a2cf69d59c0b9c20 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a1062fc8190b1c4e97f42cf3faa completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013ae388548190b09d2c81e1ab0d02 completed May 11, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a013b4df74c81908b3b99e276531e13 completed May 11, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:36 a.m.