Triple

T21026563
Position Surface form Disambiguated ID Type / Status
Subject M91 E517954 entity
Predicate isLocatedNearOnSky P133149 FINISHED
Object M100 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: M100 | Statement: [M91, isLocatedNearOnSky, M100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M100
Context triple: [M91, isLocatedNearOnSky, M100]
  • A. M100
    M100 is a large-displacement V8 engine developed by Mercedes-Benz in the 1960s, renowned for powering the flagship 600 limousine and offering exceptional smoothness and torque.
  • B. M100 chosen
    M100 is a bright grand-design spiral galaxy located in the constellation Coma Berenices and is one of the largest and most prominent members of the Virgo Cluster.
  • C. M10
    M10 is a major roadway designation used for important motorways or highways in several countries’ transportation networks.
  • D. M10
    M10 is a bright globular star cluster in the constellation Ophiuchus, cataloged by Charles Messier in 1764.
  • E. M-10
    M-10 is a major motorway in Russia that serves as a key route connecting Moscow and Saint Petersburg.
  • 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.