Triple

T1158497
Position Surface form Disambiguated ID Type / Status
Subject Order of the Southern Cross E24439 entity
Predicate namedAfter P63 FINISHED
Object Southern Cross E41171 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: Southern Cross | Statement: [Order of the Southern Cross, namedAfter, Southern Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Cross
Context triple: [Order of the Southern Cross, namedAfter, Southern Cross]
  • A. Southern Cross chosen
    Southern Cross is a prominent constellation in the southern sky, easily recognized by its cross-shaped pattern of stars and often used for navigation.
  • B. Northern Star
    Northern Star was a prominent 19th-century British Chartist newspaper that served as a key voice and organizing tool for the working-class political reform movement.
  • C. Whitecross
    Whitecross is a small locality in Northern Ireland known for its proximity to the site of the Kingsmill massacre during the Troubles.
  • D. Silver Cross
    The Silver Cross is a distinguished class within Poland’s Virtuti Militari, one of the world’s oldest and most revered military decorations for valor in combat.
  • E. Outback
    Outback is an Australian-themed exhibit at the San Diego Zoo featuring wildlife native to Australia and similar habitats.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcab3cd08190ad06ea007042a8fc completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ebbf80881909010e1e1e59212d4 completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:45 p.m.