Triple

T5075147
Position Surface form Disambiguated ID Type / Status
Subject Messier 55 E114375 entity
Predicate otherName P39 FINISHED
Object M55 E191410 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: M55 | Statement: [Messier 55, otherName, M55]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M55
Context triple: [Messier 55, otherName, M55]
  • A. M55 chosen
    M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
  • B. M-5
    M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
  • C. M5
    M5 is a major British motorway that runs through the West Midlands and South West England, connecting the Midlands to the South West peninsula.
  • D. M-50
    M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
  • E. M58
    M58 is a motorway in North West England that links the M6 near Wigan to the Liverpool area, serving as a key route for traffic to and from Merseyside.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d2243481908c1ae62f7123c4e9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb11b3f3c819089f09178f17940c5 completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.