Triple
T22393380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devil’s Mountain (Pemon) |
E553564
|
entity |
| Predicate | nearestSettlement |
P3883
|
FINISHED |
| Object | Kamarata |
—
|
NE NERFINISHED |
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: Kamarata | Statement: [Devil’s Mountain (Pemon), nearestSettlement, Kamarata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamarata Context triple: [Devil’s Mountain (Pemon), nearestSettlement, Kamarata]
-
A.
Kamarata
chosen
Kamarata is a small indigenous village in southeastern Venezuela, known as a gateway to the Gran Sabana region and the nearby Auyán-tepui and Angel Falls.
-
B.
Sidama
Sidama is an ethnic group primarily inhabiting the Sidama Region of southern Ethiopia, known for its distinct Cushitic language and coffee-growing culture.
-
C.
Bologhine
Bologhine is a coastal district of Algiers, Algeria, known for its historic neighborhoods and proximity to the Mediterranean Sea.
-
D.
Kambera
Kambera is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585ce39c819082b62e7f2e297d9b |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.