Triple
T1053840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Rinjani |
E22756
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Sembalun Lawang |
E121878
|
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: Sembalun Lawang | Statement: [Mount Rinjani, hasNearbyTown, Sembalun Lawang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sembalun Lawang Context triple: [Mount Rinjani, hasNearbyTown, Sembalun Lawang]
-
A.
Tangkuban Perahu
Tangkuban Perahu is a popular stratovolcano in West Java, Indonesia, known for its distinctive boat-like shape and easily accessible craters.
-
B.
Sembalun
chosen
Sembalun is a village in East Lombok, Indonesia, known as a primary gateway and starting point for treks up Mount Rinjani.
-
C.
Ranggawuni
Ranggawuni was a 13th-century Javanese king of the Singhasari Kingdom, known for consolidating royal power and laying groundwork for the rise of later Javanese empires.
-
D.
Mount Semeru
Mount Semeru is the highest and one of the most active volcanoes on the Indonesian island of Java, renowned for its frequent eruptions and prominent conical peak.
-
E.
Kuta Lombok
Kuta Lombok is a coastal town on the Indonesian island of Lombok known for its scenic white-sand beaches, surf breaks, and laid-back tourism atmosphere.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac429f0580819082d5a2cc6129cb1e |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.