Triple
T5779214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Goddess |
E127515
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Mother Earth |
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: Mother Earth | Statement: [Mother Goddess, relatedConcept, Mother Earth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mother Earth Context triple: [Mother Goddess, relatedConcept, Mother Earth]
-
A.
Maa
Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
-
B.
La Terre
La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
-
C.
Gaia
chosen
Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
-
D.
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.
-
E.
The Green Planet
The Green Planet is a BBC nature documentary series that explores the hidden life, behavior, and ecological importance of plants around the world.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029e26ff88190b7f8eb03bcd30dc6 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e735f408190b188b94131f1e51b |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.