Triple

T16336326
Position Surface form Disambiguated ID Type / Status
Subject Gaia Data Release 1 E396687 entity
Predicate mission P68 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: [Gaia Data Release 1, mission, Gaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaia
Context triple: [Gaia Data Release 1, mission, Gaia]
  • A. Gaia
    Gaia is a trance music project and alias of Dutch DJ and producer Armin van Buuren, known for its melodic, atmospheric tracks and appearances at major electronic music festivals.
  • B. Gaia chosen
    Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
  • C. Gaia
    Gaia is a fictional planet in Isaac Asimov’s Foundation universe, notable for its unique group consciousness that links all living and non-living matter into a single sentient entity.
  • D. Gaià
    Gaià is a small rural municipality in the comarca of Bages in Catalonia, Spain.
  • E. GAIA
    GAIA is a research group focused on developing and promoting technologies and policies to enable affordable, universal internet connectivity worldwide.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e3af7881908a3116c41ed69115 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026193a3c81909c640426ab798c1c completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.