Triple

T26629517
Position Surface form Disambiguated ID Type / Status
Subject Multi Unit Spectroscopic Explorer E668453 entity
Predicate spatialElements P161069 FINISHED
Object about 90000 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: about 90000 | Statement: [Multi Unit Spectroscopic Explorer, spatialElements, about 90000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spatialElements
Context triple: [Multi Unit Spectroscopic Explorer, spatialElements, about 90000]
  • A. spatialRepresentation
    Indicates that one entity serves as a spatial depiction, model, or encoding of the location, layout, or geometric properties of another entity.
  • B. spatialHierarchy
    Indicates a spatial relationship in which one entity is positioned within, above, below, or otherwise hierarchically organized relative to another in physical space.
  • C. hasSpatialConcept
    Indicates a relationship where one entity is associated with, defined by, or characterized through a particular spatial concept or spatial configuration.
  • D. spatialEffect
    Indicates a spatial relationship where one entity affects or alters the position, arrangement, or spatial properties of another.
  • E. spatialProperty
    Indicates a relationship where one entity has a specific spatial characteristic, such as position, size, orientation, or geometric configuration in space, relative to a reference frame or other entities.
  • 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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615ec89f081909007ddbe9d99f074 completed May 2, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69f60b8bb0d08190ab5a9a2a8847c6f4 completed May 2, 2026, 2:34 p.m.
PDg Predicate description generation batch_69f60f24ed608190bffe6c6084fc2f7a completed May 2, 2026, 2:50 p.m.
Created at: April 27, 2026, 2:24 a.m.