Triple

T5605076
Position Surface form Disambiguated ID Type / Status
Subject Avalonia E147213 entity
Predicate contributedToFormationOf P1993 FINISHED
Object Laurussia E415304 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: Laurussia | Statement: [Avalonia, contributedToFormationOf, Laurussia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurussia
Context triple: [Avalonia, contributedToFormationOf, Laurussia]
  • A. Laurussia chosen
    Laurussia, also known as Euramerica, was an ancient Paleozoic supercontinent formed by the collision of Laurentia, Baltica, and Avalonia that later played a key role in the assembly of Pangaea.
  • B. Ladania
    Ladania is a town located in the Madhubani district of the Indian state of Bihar.
  • C. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • D. Terra Cimmeria
    Terra Cimmeria is a heavily cratered, ancient highland region in Mars’s southern hemisphere, notable for its rugged terrain and geological history.
  • E. Armorica
    Armorica was an ancient region in northwestern Gaul, roughly corresponding to modern Brittany and parts of Normandy in France.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fa4b0881909fdbb8ea38eeb5e3 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02878aad8819082d2c8f038b79bc7 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:39 p.m.