Triple
T13307177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okeanos |
E316965
|
entity |
| Predicate | parents |
P7318
|
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: [Okeanos, parents, Gaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaia Context triple: [Okeanos, parents, 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.
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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a8be108190bad0021f95ce3a93 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e3617081909eea9989cf5e7b30 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:29 p.m.