Triple
T1359028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasang District |
E29055
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Saha District |
E28721
|
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: Saha District | Statement: [Sasang District, borders, Saha District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saha District Context triple: [Sasang District, borders, Saha District]
-
A.
Saha District
chosen
Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
-
B.
Sabha District
Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
-
C.
Arun District
Arun District is a local government district in West Sussex, England, named after the River Arun and encompassing coastal towns such as Bognor Regis and Littlehampton.
-
D.
Bubi District
Bubi District is an administrative district in Matabeleland North Province in western Zimbabwe, known largely for its rural communities and mining activities.
-
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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c290db288190910fcfa17e902663 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce701a84819094815ab6e8383b76 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.