Triple
T4196900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meliae |
E89174
|
entity |
| Predicate | associatedDeity |
P1481
|
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: [Meliae, associatedDeity, Gaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaia Context triple: [Meliae, associatedDeity, 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.
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.
-
C.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
D.
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.
-
E.
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.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af035f9f788190a4bcfeda646fbebf |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5961f0de081908e2b6bee1725b97e |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:46 p.m.