Triple

T31380361
Position Surface form Disambiguated ID Type / Status
Subject DARPA Urban Challenge E800435 entity
Predicate secondPlaceVehicle P29125 FINISHED
Object Junior
Junior is an autonomous robotic vehicle developed by Stanford University that gained prominence for its strong performance in DARPA's Urban Challenge.
 E1960662 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: Junior | Statement: [DARPA Urban Challenge, secondPlaceVehicle, Junior]
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: Junior
Triple: [DARPA Urban Challenge, secondPlaceVehicle, Junior]
Generated description
Junior is an autonomous robotic vehicle developed by Stanford University that gained prominence for its strong performance in DARPA's Urban Challenge.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: secondPlaceVehicle
Context triple: [DARPA Urban Challenge, secondPlaceVehicle, Junior]
  • A. secondPlace chosen
    Indicates that an entity holds the position of runner-up or finishes in second place in a ranked ordering, competition, or comparison relative to others.
  • B. thirdPlaceCar
    Indicates that the subject is the car that finished in third place in a race or ordered competition.
  • C. secondRunnerUp
    Indicates that one entity finished in third place in a competition or ranking relative to the others.
  • D. secondBoat
    Indicates that one entity is the second boat in a sequence or relative ordering with respect to another boat.
  • E. secondElement
    Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
  • 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_69f224e84da08190abfc2f17494a33c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69fe163a41a0819098403b470e327d29 completed May 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad23a70f481908edfc5d2b984e041 completed June 11, 2026, 3:20 p.m.
NEDg Description generation batch_6a2ad2c4a4fc819095968c7c101560bd completed June 11, 2026, 3:22 p.m.
NED2 Entity disambiguation (via description) batch_6a2ae19005fc8190b169fa734c453179 completed June 11, 2026, 4:25 p.m.
PD Predicate disambiguation batch_69fe1358db5c819092570814a37ef5bd completed May 8, 2026, 4:46 p.m.
Created at: April 29, 2026, 9:18 p.m.