Triple

T21026569
Position Surface form Disambiguated ID Type / Status
Subject M98 E517955 entity
Predicate constellation P9993 FINISHED
Object Coma Berenices 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: Coma Berenices | Statement: [M98, constellation, Coma Berenices]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coma Berenices
Context triple: [M98, constellation, Coma Berenices]
  • A. Coma Berenices chosen
    Coma Berenices is a small northern constellation notable for its rich star fields and prominent galaxy clusters, located between Leo and Boötes.
  • B. Mursa Major
    Mursa Major was an important Roman city in the province of Pannonia, located on the River Drava in what is now Osijek, Croatia.
  • C. GANOPE
    GANOPE is an Egyptian state-owned petroleum holding company responsible for managing and developing oil and gas resources in the southern regions of Egypt.
  • D. Meissa
    Meissa is a multiple-star system that marks the head of the constellation Orion and serves as one of its prominent stellar features.
  • E. Saas-Almagell
    Saas-Almagell is a small alpine village and ski resort in the Swiss canton of Valais, known for its scenic mountain landscapes and outdoor recreation.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc7c262c8190bceb8fd26be76983 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.