Triple
T10360382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguillatun |
E244117
|
entity |
| Predicate | hasSpiritualFocus |
P6456
|
FINISHED |
| Object | Ngenechen |
E234605
|
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: Ngenechen | Statement: [Nguillatun, hasSpiritualFocus, Ngenechen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngenechen Context triple: [Nguillatun, hasSpiritualFocus, Ngenechen]
-
A.
Ngenechen
chosen
Ngenechen is the supreme creator deity in Mapuche spirituality, embodying the protective and life-giving force that governs the natural and human world.
-
B.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
C.
Mutengene
Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
-
D.
Ngeno-Ngene
Ngeno-Ngene is a major dialect of the Sasak language spoken on the island of Lombok in Indonesia.
-
E.
Chenu
Chenu is a commune in northwestern France, located in the Sarthe department of the Pays de la Loire region.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9609c4481908b7d72ecf1adaa73 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b6ef248190bdbe16bbb8efcf88 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:59 a.m.