Triple

T2169332
Position Surface form Disambiguated ID Type / Status
Subject Chandrayaan-3 E46985 entity
Predicate landingBody P18986 FINISHED
Object Moon E4619 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: Moon | Statement: [Chandrayaan-3, landingBody, Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moon
Context triple: [Chandrayaan-3, landingBody, Moon]
  • A. Moon chosen
    The Moon is Earth's only natural satellite, a rocky celestial body that orbits our planet and significantly influences tides, calendars, and human culture.
  • B. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • C. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • D. Mars
    Mars is the fourth planet from the Sun, a cold, desert-like world often called the "Red Planet" due to its iron-rich surface and a prime target in the search for past or present extraterrestrial life.
  • E. Selene
    Selene is the Greek goddess and personification of the Moon, often depicted driving a silver chariot across the night sky.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landingBody
Context triple: [Chandrayaan-3, landingBody, Moon]
  • A. landingArea
    Indicates that a location or surface serves as a designated area where something (such as an aircraft, object, or person) can land.
  • B. hostsBody chosen
    Indicates that one entity serves as the physical container or location in which another entity resides or is situated.
  • C. landingSectors
    Indicates a relationship where specific sectors or areas are designated or used as locations for landing.
  • D. homeSection
    Indicates that something belongs to, is part of, or is designated as the primary/home section within a larger structure or collection.
  • E. landingMethod
    Indicates the manner or technique by which something or someone arrives and comes to rest at a destination, typically from the air or space.
  • F. None of above.

Provenance (4 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.
NED1 Entity disambiguation (via context triple) batch_69ae6af04e908190a8eaee7500e0b1af completed March 9, 2026, 6:38 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.