Triple
T21325296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abasha River |
E525736
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Abasha (town) |
—
|
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: Abasha (town) | Statement: [Abasha River, near, Abasha (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abasha (town) Context triple: [Abasha River, near, Abasha (town)]
-
A.
Abasha Municipality
Abasha Municipality is a local administrative district in western Georgia that encompasses the town of Abasha and surrounding rural areas.
-
B.
Abasha
chosen
Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
-
C.
Barsham
Barsham is a small rural village and civil parish located in the English county of Suffolk.
-
D.
Akhthala town
Akhthala town is a historic settlement in northern Armenia known for its medieval monastery and scenic location amid the Debed Canyon.
-
E.
Shari town
Shari town is a coastal municipality on Japan’s northern island of Hokkaido, known as a gateway to the Shiretoko Peninsula and its national park.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4843088190a4fa1cc87f0ca824 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.