Triple
T10455715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Moon |
E246546
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Northern Plains |
E9201
|
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: Northern Plains | Statement: [Two Moon, region, Northern Plains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northern Plains Context triple: [Two Moon, region, Northern Plains]
-
A.
Northern Great Plain
The Northern Great Plain is a large, predominantly flat agricultural and economic region in eastern Hungary that includes major cities such as Debrecen.
-
B.
Great Plains
chosen
The Great Plains is a vast, mostly flat grassland region in central North America known for its prairies, agriculture, and continental climate.
-
C.
Southern Great Plain
The Southern Great Plain is a large, predominantly flat agricultural region in southeastern Hungary known for its fertile lands and extensive farming.
-
D.
Rio Grande Plains
The Rio Grande Plains is a semi-arid, brush-covered physiographic region of southern Texas characterized by rolling plains, thorny shrublands, and ranching and oil activities.
-
E.
Central Plains region
The Central Plains region is a key economic and cultural heartland of China, centered around the middle and lower reaches of the Yellow River and encompassing major inland cities and agricultural areas.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe48d15c8190bae0d4859e6cda5d |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 |
completed | April 12, 2026, 3:14 p.m. |
Created at: April 6, 2026, 12:18 p.m.