Triple

T23395207
Position Surface form Disambiguated ID Type / Status
Subject And XX E559337 entity
Predicate hostSystem P62453 FINISHED
Object M31 satellite system 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: M31 satellite system | Statement: [And XX, hostSystem, M31 satellite system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M31 satellite system
Context triple: [And XX, hostSystem, M31 satellite system]
  • A. Andromeda satellite system chosen
    The Andromeda satellite system is the collection of dwarf galaxies and other small companions gravitationally bound to the Andromeda Galaxy (M31).
  • B. Astra satellite system
    The Astra satellite system is a fleet of communications satellites operated by SES that provides television, radio, and data services across Europe and other regions.
  • C. M-33
    M-33 is a state trunkline highway in Michigan that runs through the northern part of the Lower Peninsula, serving rural communities and connecting to several major routes.
  • D. M-33
    M-33 is a regional road in Montenegro that forms part of the country’s main inland transport network.
  • E. Argos satellite system
    The Argos satellite system is a global satellite-based data collection and location system used to relay environmental and oceanographic measurements from remote platforms such as Argo floats to data centers.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4db1c888190ace5d58bcc8645c1 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:36 p.m.