Triple

T20342198
Position Surface form Disambiguated ID Type / Status
Subject Mars Reconnaissance Orbiter E495765 entity
Predicate primaryInstrument P933 FINISHED
Object MCS 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: MCS | Statement: [Mars Reconnaissance Orbiter, primaryInstrument, MCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCS
Context triple: [Mars Reconnaissance Orbiter, primaryInstrument, MCS]
  • A. MCS
    MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
  • B. MCS chosen
    MCS is a scientific instrument aboard NASA’s Mars Reconnaissance Orbiter that measures the Martian atmosphere’s temperature, dust, and water vapor profiles.
  • C. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • D. MCS
    MCS is the stock ticker symbol for The Marcus Corporation, a U.S.-based company primarily known for its movie theaters and hospitality businesses.
  • E. M&CS
    M&CS is the abbreviation for the Department of Mathematics and Computer Science at Eindhoven University of Technology, which focuses on education and research in mathematics, computer science, and related fields.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67835f6e881908834dda06cf66c50 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.