Triple
T2005731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Btourram |
E43579
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Koura District |
E229563
|
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: Koura District | Statement: [Btourram, partOf, Koura District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koura District Context triple: [Btourram, partOf, Koura District]
-
A.
Koura District
chosen
Koura District is an administrative district in the North Governorate of Lebanon, known for its olive groves, agricultural production, and mix of coastal and inland towns.
-
B.
Kuse District
Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
-
C.
Nam District
Nam District is an administrative district (gu) of the metropolitan city of Busan in South Korea, known for its coastal location and urban residential areas.
-
D.
Tupe District
Tupe District is a small Andean district in Peru notable for preserving the indigenous Jaqaru language and traditional highland culture.
-
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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb898795481909920c1a4c4d62c2d |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2707c074819095f932a67f7b5fb9 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:37 p.m.