Triple

T13307673
Position Surface form Disambiguated ID Type / Status
Subject Protogenoi E316977 entity
Predicate includesDeity P15725 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: [Protogenoi, includesDeity, Erebus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erebus
Context triple: [Protogenoi, includesDeity, 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. Yipounou
    Yipounou is an alternate name for Yipunu, a Bantu language spoken primarily by the Punu people of Gabon.
  • C. Goodricke
    Goodricke is a surname of English origin, historically borne by several notable figures including astronomer John Goodricke.
  • D. Totaranui
    Totaranui is a remote coastal settlement and popular golden-sand beach and campground on the northern edge of New Zealand’s Abel Tasman National Park.
  • E. Hikurangi
    Hikurangi is a small rural township in New Zealand’s Northland Region, known historically for coal mining and its proximity to scenic limestone and volcanic landscapes.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a8be108190bad0021f95ce3a93 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e58cc48190afb46e8394227ab5 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.