Triple
T22208085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lengkuas Island |
E548868
|
entity |
| Predicate | accessFrom |
P1985
|
FINISHED |
| Object | Tanjung Kelayang |
—
|
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: Tanjung Kelayang | Statement: [Lengkuas Island, accessFrom, Tanjung Kelayang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanjung Kelayang Context triple: [Lengkuas Island, accessFrom, Tanjung Kelayang]
-
A.
Tanjung Kelayang
chosen
Tanjung Kelayang is a scenic coastal area in Belitung, Indonesia, renowned for its white-sand beaches, granite rock formations, and clear turquoise waters that make it a popular tourist destination.
-
B.
Tanjung Bungah
Tanjung Bungah is a coastal suburb in Penang, Malaysia, known for its beaches, seaside resorts, and residential neighborhoods between George Town and Batu Ferringhi.
-
C.
Tanjung Rambutan
Tanjung Rambutan is a small town in Perak, Malaysia, historically known for its large psychiatric hospital and its location within the Kinta Valley.
-
D.
Tanjung Aan
Tanjung Aan is a scenic white-sand beach and popular coastal tourist destination on the southern coast of Lombok, Indonesia.
-
E.
Tanjung Malim
Tanjung Malim is a town in Perak, Malaysia, known as a regional transport hub and gateway between the states of Perak and Selangor.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b29eb808190ab8abaa1e0e354fa |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.