Triple
T10029403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Papandayan |
E204813
|
entity |
| Predicate | hasCrater |
P6354
|
FINISHED |
| Object | Kawah Mas |
E836516
|
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: Kawah Mas | Statement: [Mount Papandayan, hasCrater, Kawah Mas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawah Mas Context triple: [Mount Papandayan, hasCrater, Kawah Mas]
-
A.
Mount Ijen
Mount Ijen is an active volcano in Indonesia famed for its striking turquoise crater lake and rare electric-blue sulfur flames.
-
B.
Mount Baluran
Mount Baluran is an extinct volcano in East Java, Indonesia, that forms the central landmark of Baluran National Park and gives the park much of its distinctive savanna landscape.
-
C.
Tangkuban Perahu
Tangkuban Perahu is a popular stratovolcano in West Java, Indonesia, known for its distinctive boat-like shape and easily accessible craters.
-
D.
Mount Salak
Mount Salak is a volcanic mountain in West Java, Indonesia, known for its rugged terrain, frequent mist, and history of aviation accidents.
-
E.
Kawah Papandayan
chosen
Kawah Papandayan is a prominent active volcanic crater complex on Mount Papandayan in West Java, Indonesia, known for its fumaroles, sulfur deposits, and scenic yet hazardous landscape.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde69bd08190a5c79ec8487dfff6 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cb9a62788190aed75d03f1d2aeb6 |
completed | April 5, 2026, 8:52 p.m. |
Created at: March 30, 2026, 8:54 p.m.