Triple
T22805660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ρέα |
E564525
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Γαία |
—
|
NE NERFINISHED |
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: Γαία | Statement: [Ρέα, childOf, Γαία]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Γαία Context triple: [Ρέα, childOf, Γαία]
-
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 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.
-
C.
Gaia
Gaia is a European Space Agency space observatory designed to create the most precise 3D map of the Milky Way by measuring the positions, distances, and motions of over a billion stars.
-
D.
Gaia
Gaia is the user interface layer of Firefox OS, encompassing its homescreen, apps, and overall visual and interaction design.
-
E.
Gaia
Gaia is a French actress and model known for her roles in films like "Mary Queen of Scots" and the TV series "Vikings."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5c193481908550993e2547515d |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.