Triple

T870109
Position Surface form Disambiguated ID Type / Status
Subject Chaos E18790 entity
Predicate givesRiseTo P4501 FINISHED
Object Erebus E51310 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: Erebus | Statement: [Chaos, givesRiseTo, Erebus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erebus
Context triple: [Chaos, givesRiseTo, Erebus]
  • A. Erebus chosen
    Erebus is a primordial Greek deity personifying deep darkness and shadow, often associated with the underworld and the void between Earth and Tartarus.
  • B. Marakei
    Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
  • C. Maunga Terevaka
    Maunga Terevaka is the largest and youngest of the three main volcanoes forming Easter Island, dominating the island’s landscape as its highest point.
  • D. Taree
    Taree is a regional town in New South Wales, Australia, situated on the Manning River and serving as a commercial and service hub for the surrounding agricultural and coastal communities.
  • E. Finstock
    Finstock is a small rural village in the West Oxfordshire district of Oxfordshire, England, known for its traditional English countryside setting.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac811e548190a72b7a10b5ea8665 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84dcf748190b20372fdc48d6766 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.