Triple
T5536840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moxeño |
E145182
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Trinitario Moxeño |
E145182
|
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: Trinitario Moxeño | Statement: [Moxeño, hasDialect, Trinitario Moxeño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trinitario Moxeño Context triple: [Moxeño, hasDialect, Trinitario Moxeño]
-
A.
Moxeño
chosen
Moxeño is an indigenous Arawakan language spoken by the Moxeño people of Bolivia’s Beni region.
-
B.
Rumiñahui
Rumiñahui is a dormant stratovolcano in the Ecuadorian Andes, located near Quito and known for its rugged peaks and popular hiking routes.
-
C.
Mogotón
Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
-
D.
Huachipato
Huachipato is a Chilean professional football club based in Talcahuano, known for competing in the country’s top division and for its strong steel-industry roots.
-
E.
Cadaval
Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb07e748190bea74bbde2d7b8ba |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04ce6a3bc8190958b9356bb788d72 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:34 p.m.