Triple

T15842591
Position Surface form Disambiguated ID Type / Status
Subject Jordan Grand Prix E384133 entity
Predicate chassisPrefix P76999 FINISHED
Object EJ13
EJ13 is the 2003 Formula One racing car chassis designed and built by the Jordan Grand Prix team for use in the FIA Formula One World Championship.
E1180604 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: EJ13 | Statement: [Jordan Grand Prix, chassisPrefix, EJ13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EJ13
Context triple: [Jordan Grand Prix, chassisPrefix, EJ13]
  • A. E134
    E134 is a major east–west European highway in Norway that connects the country’s western fjord region with its southeastern areas through several long tunnels and mountain passes.
  • B. U13E
    U13E is a specific line of the Stuttgart Stadtbahn light rail network serving urban transit routes within Stuttgart, Germany.
  • C. E313
    E313 is a major Belgian motorway connecting Antwerp with Liège and serving as a key east–west transport corridor through the Limburg region.
  • D. GJ-13
    GJ-13 is the regional vehicle registration code assigned to the Surendranagar district in the Indian state of Gujarat.
  • E. EZJ
    EZJ is the London Stock Exchange ticker symbol for easyJet, a major British low-cost airline.
  • 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: EJ13
Triple: [Jordan Grand Prix, chassisPrefix, EJ13]
Generated description
EJ13 is the 2003 Formula One racing car chassis designed and built by the Jordan Grand Prix team for use in the FIA Formula One World Championship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EJ13
Target entity description: EJ13 is the 2003 Formula One racing car chassis designed and built by the Jordan Grand Prix team for use in the FIA Formula One World Championship.
  • A. E134
    E134 is a major east–west European highway in Norway that connects the country’s western fjord region with its southeastern areas through several long tunnels and mountain passes.
  • B. U13E
    U13E is a specific line of the Stuttgart Stadtbahn light rail network serving urban transit routes within Stuttgart, Germany.
  • C. E313
    E313 is a major Belgian motorway connecting Antwerp with Liège and serving as a key east–west transport corridor through the Limburg region.
  • D. GJ-13
    GJ-13 is the regional vehicle registration code assigned to the Surendranagar district in the Indian state of Gujarat.
  • E. EZJ
    EZJ is the London Stock Exchange ticker symbol for easyJet, a major British low-cost airline.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e88ff08190a1035269e8fdaa6a completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13eab4881908794104508ba53af completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa527af048190b1f87d85e50bf254 completed May 9, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5df00e481909e203e78940395ed completed May 9, 2026, 9:23 p.m.
Created at: April 10, 2026, 4:50 a.m.