Triple

T18956828
Position Surface form Disambiguated ID Type / Status
Subject Messier 26 E463800 entity
Predicate compactness P63669 FINISHED
Object relatively compact for an open cluster 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: relatively compact for an open cluster | Statement: [Messier 26, compactness, relatively compact for an open cluster]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compactness
Context triple: [Messier 26, compactness, relatively compact for an open cluster]
  • A. compactificationShape
    Indicates the specific geometric or topological form used to compactify extra dimensions or spaces in a theoretical construction.
  • B. isOnePointCompactificationOf
    Indicates that one topological space is obtained from another by adding a single “point at infinity” so that the resulting space is compact and extends the original space in a minimal way.
  • C. isLocallyCompact
    Indicates that a topological space has the property that every point has a neighborhood whose closure is compact.
  • D. isNoncompact
    Indicates that the object (such as a space or set) lacks compactness, meaning it does not satisfy the property that every open cover has a finite subcover.
  • E. typeOfCompactness chosen
    Indicates the specific kind or category of compactness that characterizes an entity or structure.
  • F. None of above.

Provenance (3 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5cdf2d08190a0aecd3fa5335a75 completed April 20, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69e4a2f437648190b85650dae8885d48 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, noon