Triple

T16296785
Position Surface form Disambiguated ID Type / Status
Subject Camelopardalis E395667 entity
Predicate locatedNear P294 FINISHED
Object Ursa Major E450568 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: Ursa Major | Statement: [Camelopardalis, locatedNear, Ursa Major]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursa Major
Context triple: [Camelopardalis, locatedNear, Ursa Major]
  • A. Ursa Major chosen
    Ursa Major is a prominent northern constellation best known for containing the Big Dipper asterism and serving as an important navigational reference in the night sky.
  • B. Ursa Major family
    The Ursa Major family is a group of constellations in the northern sky, organized around Ursa Major and sharing common mythological and positional associations.
  • C. The Big Dipper
    The Big Dipper was the famous nickname of NBA legend Wilt Chamberlain, highlighting his towering height and dominant presence on the basketball court.
  • D. Big Dipper
    Big Dipper is a classic wooden roller coaster located at Blackpool Pleasure Beach in England, known for its historic status and traditional out-and-back design.
  • E. Big Dipper
    Big Dipper is a family-friendly wooden roller coaster located at the Michigan’s Adventure amusement park in Muskegon, Michigan.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2dcdac819083918f0964dd5666 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9b42248190a3c8c2647a42aeb9 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.