Triple
T18117821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sinabung |
E433654
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Berastagi |
—
|
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: Berastagi | Statement: [Mount Sinabung, locatedNear, Berastagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berastagi Context triple: [Mount Sinabung, locatedNear, Berastagi]
-
A.
Berastagi
chosen
Berastagi is a cool highland town in North Sumatra, Indonesia, known for its volcanoes, fruit and flower markets, and scenic views, making it a popular weekend getaway from Medan.
-
B.
Bastan
Bastan is a family of turboprop aircraft engines developed by Turbomeca and used on several regional and military transport aircraft.
-
C.
Bastam
Bastam is an ancient town in Iran renowned for its significant Islamic architectural and Sufi heritage, including monuments from the Seljuk and Ilkhanid periods.
-
D.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
E.
Bara
Bara is a town in central Sudan known as an agricultural and trading center in North Kordofan State.
- 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.