Triple

T4065464
Position Surface form Disambiguated ID Type / Status
Subject ExoMars programme E86312 entity
Predicate landerStatus P53875 FINISHED
Object Schiaparelli EDM lander failed on landing 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: Schiaparelli EDM lander failed on landing | Statement: [ExoMars programme, landerStatus, Schiaparelli EDM lander failed on landing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landerStatus
Context triple: [ExoMars programme, landerStatus, Schiaparelli EDM lander failed on landing]
  • A. IMOStatus
    Indicates the classification or standing of an entity under International Maritime Organization (IMO) regulations or recognition.
  • B. airportStatus
    Indicates the current operational condition or state of an airport (e.g., open, closed, delayed, restricted).
  • C. loreStatus
    Indicates the canonical or contextual standing of something within a fictional or narrative universe (such as whether it is official, speculative, or non-canonical lore).
  • D. hasLandStatus
    Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
  • E. countrySpecificStatus
    Indicates a status or condition that is defined or applied specifically in the context of a particular country.
  • F. None of above. chosen

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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0bdea48190805a79515ee92709 completed March 9, 2026, 5:02 p.m.
PD Predicate disambiguation batch_69aef90438908190a005b08ba271eacf completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefd0995188190b1bc8771fe7f423a completed March 9, 2026, 5:02 p.m.
Created at: March 9, 2026, 3:38 p.m.