Triple

T5363465
Position Surface form Disambiguated ID Type / Status
Subject Microscopium E103074 entity
Predicate borderingConstellation P224 FINISHED
Object Grus E492360 NE 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: Grus | Statement: [Microscopium, borderingConstellation, Grus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grus
Context triple: [Microscopium, borderingConstellation, Grus]
  • A. Grus chosen
    Grus is a southern sky constellation representing a crane, notable for its bright stars and visibility from the Southern Hemisphere.
  • B. Scuti
    Scuti is the Latin genitive form of Scutum, used in astronomy to denote stars belonging to the constellation Scutum.
  • C. Cygnus
    Cygnus is a genus of large waterfowl commonly known as swans, recognized for their long necks, graceful appearance, and association with lakes and rivers across the Northern Hemisphere.
  • D. Cygnis
    Cygnis is a digital product development company specializing in custom web and mobile applications, often leveraging emerging technologies like AI and cloud platforms.
  • E. Capella
    Capella is a small rural town in Central Queensland, Australia, known for its coal mining and agricultural industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865b9b808190a1e8c283ba28d645 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21f2bc708190b596c5402fa07e75 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:02 p.m.