Triple
T19502259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Drin delta |
E487932
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Shëngjin |
—
|
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: Shëngjin | Statement: [River Drin delta, near, Shëngjin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shëngjin Context triple: [River Drin delta, near, Shëngjin]
-
A.
Shëngjin
chosen
Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
-
B.
Xinjing
Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
-
C.
Shàoyáng
Shàoyáng is a prefecture-level city in southwestern Hunan Province, China, known for its long history, diverse ethnic culture, and role as a regional transportation and commercial hub.
-
D.
Guisui
Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
-
E.
Yifang
Yifang is a given name of Chinese origin used for both males and females.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6350dbae08190bea7fc3e3eb95c3c |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.