Triple

T2169355
Position Surface form Disambiguated ID Type / Status
Subject Chandrayaan-3 E46985 entity
Predicate roverWheels P19380 FINISHED
Object six-wheeled rover LITERAL FINISHED

How this triple was built (2 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: six-wheeled rover | Statement: [Chandrayaan-3, roverWheels, six-wheeled rover]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roverWheels
Context triple: [Chandrayaan-3, roverWheels, six-wheeled rover]
  • A. numberOfWheels chosen
    Indicates the quantity of wheels that an entity possesses or is associated with.
  • B. wheelCount
    Indicates the number of wheels associated with a given entity.
  • C. wheelType
    Indicates the specific kind or category of wheel associated with an entity.
  • D. numberOfSpokes
    Indicates the count of individual spokes associated with or contained in a given object or structure.
  • E. hasNumberOfSpokes
    Indicates the relationship that specifies how many spokes are present in or associated with an object.
  • F. None of above.

Provenance (3 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.