Triple
T17769397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinsk District |
E443592
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Ivanava District |
—
|
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: Ivanava District | Statement: [Pinsk District, hasBorderWith, Ivanava District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivanava District Context triple: [Pinsk District, hasBorderWith, Ivanava District]
-
A.
Ivanava District
chosen
Ivanava District is an administrative district in the Brest Region of southwestern Belarus, known for its rural settlements and small towns such as Motal.
-
B.
Shinkay District
Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
-
C.
Iwanai District
Iwanai District is an administrative district located in Shiribeshi Subprefecture on Japan’s northern island of Hokkaido.
-
D.
Tani District
Tani District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
-
E.
Inukami District
Inukami District is a rural administrative district in Shiga Prefecture, Japan, known for its small towns and scenic countryside.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fe70648190b4107e1eabacc694 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.