Triple

T2514372
Position Surface form Disambiguated ID Type / Status
Subject Erytheia E52776 entity
Predicate parent P120 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: [Erytheia, parent, Erebus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erebus
Context triple: [Erytheia, parent, 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. Mount Erebus
    Mount Erebus is an active stratovolcano on Ross Island in Antarctica, known for being the southernmost active volcano on Earth and for its persistent lava lake.
  • C. Marakei
    Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
  • D. Onehunga
    Onehunga is a suburb of Auckland, New Zealand, known for its diverse multicultural community and strong Pacific Island, particularly Tongan, presence.
  • E. 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.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd20c8ab0819096d6a654039beb39 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b934d3c81909627a5f4d6e6ca6a completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.