Triple
T18117818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sinabung |
E433654
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | North Sumatra |
—
|
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: North Sumatra | Statement: [Mount Sinabung, locatedIn, North Sumatra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Sumatra Context triple: [Mount Sinabung, locatedIn, North Sumatra]
-
A.
North Sumatra
chosen
North Sumatra is a populous province on the Indonesian island of Sumatra, known for its diverse cultures, Lake Toba, and the city of Medan as its capital.
-
B.
South Sumatra
South Sumatra is a province in the southern part of the Indonesian island of Sumatra, known for its capital Palembang and its rich natural resources and cultural heritage.
-
C.
West Sumatra
West Sumatra is an Indonesian province on the island of Sumatra known for its Minangkabau culture, distinctive architecture, and spicy Padang cuisine.
-
D.
Sumatra
Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
-
E.
Southwestern Sumatra
Southwestern Sumatra is a region on the Indonesian island of Sumatra known for its indigenous communities and distinctive local languages and cultures.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd737708190863fba97cdc20d88 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.