Triple

T36115669
Position Surface form Disambiguated ID Type / Status
Subject Super Formula E1044608 entity
Predicate successorChassisModel P16897 FINISHED
Object Dallara SF23
The Dallara SF23 is a next-generation single-seater racing car chassis developed by Dallara for Japan’s Super Formula championship, featuring updated aerodynamics and safety to enhance performance and competition.
 E2171159 NE FINISHED

How this triple was built (3 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: Dallara SF23 | Statement: [Super Formula, successorChassisModel, Dallara SF23]
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: Dallara SF23
Triple: [Super Formula, successorChassisModel, Dallara SF23]
Generated description
The Dallara SF23 is a next-generation single-seater racing car chassis developed by Dallara for Japan’s Super Formula championship, featuring updated aerodynamics and safety to enhance performance and competition.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: successorChassisModel
Context triple: [Super Formula, successorChassisModel, Dallara SF23]
  • A. successorModel chosen
    Indicates that one model is the direct follow-up or replacement for another earlier model.
  • B. chassisName
    Indicates the designated name or identifier assigned to a chassis in a system or dataset.
  • C. predecessorChassisCode
    Indicates that one chassis code directly precedes another in a chronological or generational sequence.
  • D. successorInChipset
    Indicates that one chipset directly follows and replaces another in a product or technology line.
  • E. successorEngineFamily
    Indicates that one engine family directly follows and replaces another in a product or development lineage.
  • F. None of above.

Provenance (6 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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a00512437d48190ad20324968ead5f4 completed May 10, 2026, 9:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a390d3c32b481909441aa4809937988 completed June 22, 2026, 10:23 a.m.
NEDg Description generation batch_6a390dadf9a881908f39c69eae2009d1 completed June 22, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a390e9b47608190bce85055453afcda completed June 22, 2026, 10:29 a.m.
PD Predicate disambiguation batch_6a0050227350819099f41369c3d168be completed May 10, 2026, 9:30 a.m.
Created at: May 3, 2026, 4:08 p.m.