Triple
T5165924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachamama |
E116554
|
entity |
| Predicate | meaningOfName |
P1966
|
FINISHED |
| Object | World Mother |
E77587
|
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: World Mother | Statement: [Pachamama, meaningOfName, World Mother]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: World Mother Context triple: [Pachamama, meaningOfName, World Mother]
-
A.
Great Mother
chosen
Great Mother is an epithet of Gaia that emphasizes her role as the primordial earth goddess and universal mother figure in Greek mythology.
-
B.
Mamayi
Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
-
C.
Matua
Matua is a volcanic island in the central Kuril Islands chain, notable for its World War II-era Japanese military installations and strategic location in the northwest Pacific.
-
D.
Amma
Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
-
E.
Marella
Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792af4648190934cf2db523f6921 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed937bd8c81909569f7205044aa5a |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.