Triple
T4564606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sembalun |
E121878
|
entity |
| Predicate | administrativeDivisionOf |
P747
|
FINISHED |
| Object | Sembalun District |
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 District | Statement: [Sembalun, administrativeDivisionOf, Sembalun District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sembalun District Context triple: [Sembalun, administrativeDivisionOf, Sembalun District]
-
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.
Butaritari District
Butaritari District is an administrative division in Kiribati encompassing the island and surrounding area of Butaritari in the Gilbert Islands.
-
C.
Keamari District
Keamari District is a coastal administrative district of Karachi, Pakistan, known for its port facilities, waterfront areas, and strategic maritime importance.
-
D.
Pinogana District
Pinogana District is an administrative district located within Panama’s remote and biodiverse Darién Province, known for its dense rainforests and sparse population.
-
E.
Yosa District
Yosa District is a rural administrative district in northern Kyoto Prefecture, Japan, known for its coastal landscapes along the Sea of Japan and traditional fishing and farming communities.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589b439c81908da9d19433310bcd |
completed | March 20, 2026, 2:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3aa3b9081908984777207f4040e |
completed | March 20, 2026, 11:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.