Triple

T20288919
Position Surface form Disambiguated ID Type / Status
Subject Ramachandra E509963 entity
Predicate component P35 FINISHED
Object Chandra NE NERFINISHED

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: Chandra | Statement: [Ramachandra, component, Chandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandra
Context triple: [Ramachandra, component, Chandra]
  • A. Chandra
    Chandra is a common Indian surname shared by various notable individuals across fields such as mathematics, science, politics, and the arts.
  • B. Chandra
    Chandra is NASA’s flagship X-ray space observatory used to study high-energy phenomena such as black holes, supernova remnants, and hot gas in the universe.
  • C. Chandra chosen
    Chandra is the Hindu lunar deity associated with the Moon, often revered for his influence over emotions, fertility, and time.
  • D. Chand
    Chand is a common South Asian given name and surname derived from the Sanskrit word for "moon," often used across India and neighboring regions.
  • E. Chandrayaan-1
    Chandrayaan-1 was India’s first lunar probe, launched in 2008, which successfully orbited the Moon and helped confirm the presence of water molecules on the lunar surface.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67694d50881909d59c1037295c1d0 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:10 a.m.