Triple

T870104
Position Surface form Disambiguated ID Type / Status
Subject Chaos E18790 entity
Predicate precedes P97 FINISHED
Object Gaia E14477 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: Gaia | Statement: [Chaos, precedes, Gaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaia
Context triple: [Chaos, precedes, Gaia]
  • A. Gaia chosen
    Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
  • B. Theia
    Theia is a Titaness from Greek mythology associated with sight and the shining light of the clear blue sky, and is the mother of Helios, Selene, and Eos.
  • C. Urana
    Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
  • D. Rhea
    Rhea is a Titaness in Greek mythology, best known as the mother of several Olympian gods, including Zeus, whom she saved from being devoured by his father Cronus.
  • E. Alcyone
    Alcyone is one of the Pleiades in Greek mythology, a daughter of the Titan Atlas and often associated with the star cluster of the same name.
  • 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_69ac11931dc88190ac1cd0d0c68a151d completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:39 p.m.