Triple

T3028173
Position Surface form Disambiguated ID Type / Status
Subject Apollo slaying Python E82829 entity
Predicate hasCharacter P2308 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: [Apollo slaying Python, hasCharacter, Gaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaia
Context triple: [Apollo slaying Python, hasCharacter, 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. Asteria
    Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
  • C. 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.
  • D. 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.
  • E. Adrestia
    Adrestia is a lesser-known Greek goddess associated with revolt, retribution, and the balance between war and peace.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abea8f4819090554d7319778170 completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eeec62208190912f35e209c7f9d9 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3 p.m.