Triple

T20681236
Position Surface form Disambiguated ID Type / Status
Subject Mount Buffalo plateau E508297 entity
Predicate nearbyTown P3883 FINISHED
Object Bright E656104 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: Bright | Statement: [Mount Buffalo plateau, nearbyTown, Bright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bright
Context triple: [Mount Buffalo plateau, nearbyTown, Bright]
  • A. Bright
    Bright is a notable member of the Philhellenes, a group known for its strong admiration and support for Greek culture and causes.
  • B. Bright
    Bright is a 2017 urban fantasy action film set in a world where humans coexist with mythical creatures, starring Will Smith and Joel Edgerton and released by Netflix.
  • C. Bright chosen
    Bright is a popular tourist town in northeastern Victoria, Australia, known for its picturesque alpine scenery, autumn foliage, and outdoor recreation activities.
  • D. Bright
    Bright is an English surname borne by various notable figures, including the 19th-century British politician and reformer John Bright.
  • E. Bright
    Bright is an epithet meaning "shining" or "radiant," often associated with the luminous Cyclops Argēs in Greek mythology.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea842dc81908106a0c29d1577aa completed April 21, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd6cb9f88190a3bdd3d353b78eb0 completed May 16, 2026, 8:02 p.m.
Created at: April 16, 2026, 11:45 a.m.