Triple
T18551497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Rinjani National Park |
E453389
|
entity |
| Predicate | hasMainAccessPoint |
P26211
|
FINISHED |
| Object | Sembalun |
—
|
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: Sembalun | Statement: [Mount Rinjani National Park, hasMainAccessPoint, Sembalun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sembalun Context triple: [Mount Rinjani National Park, hasMainAccessPoint, Sembalun]
-
A.
Sembalun
chosen
Sembalun is a village in East Lombok, Indonesia, known as a primary gateway and starting point for treks up Mount Rinjani.
-
B.
Selong
Selong is the main urban and administrative center of East Lombok Regency on the island of Lombok in Indonesia.
-
C.
Ko Payang
Ko Payang is a small island within Thailand’s Similan Islands archipelago, known for its clear waters, coral reefs, and rich marine life popular with divers and snorkelers.
-
D.
Anai Mudi
Anai Mudi is the highest peak in South India, located in the Western Ghats of Kerala and known for its rich biodiversity and scenic trekking routes.
-
E.
Mount Lokon
Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538019a74819099dbd255fb21fa95 |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:38 a.m.