Triple
T19529939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryanggang Province |
E488629
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Unhung County
Unhung County is an administrative county located within Ryanggang Province in northern North Korea.
|
E1381429
|
NE FINISHED |
How this triple was built (4 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: Unhung County | Statement: [Ryanggang Province, hasCounty, Unhung County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unhung County Context triple: [Ryanggang Province, hasCounty, Unhung County]
-
A.
Haman County
Haman County is a rural administrative region in South Gyeongsang Province, South Korea, known for its agricultural landscape and historical heritage.
-
B.
Baingoin County
Baingoin County is a high-altitude administrative county in the Tibet Autonomous Region of China, known for its vast grasslands and pastoral economy.
-
C.
Leting County
Leting County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northern China, known for its coastal location along the Bohai Sea.
-
D.
Windeyer County
Windeyer County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
-
E.
Rebel County
Rebel County is a nickname for County Cork in Ireland, reflecting its historic reputation for political defiance and independence.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unhung County Triple: [Ryanggang Province, hasCounty, Unhung County]
Generated description
Unhung County is an administrative county located within Ryanggang Province in northern North Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unhung County Target entity description: Unhung County is an administrative county located within Ryanggang Province in northern North Korea.
-
A.
Haman County
Haman County is a rural administrative region in South Gyeongsang Province, South Korea, known for its agricultural landscape and historical heritage.
-
B.
Baingoin County
Baingoin County is a high-altitude administrative county in the Tibet Autonomous Region of China, known for its vast grasslands and pastoral economy.
-
C.
Leting County
Leting County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northern China, known for its coastal location along the Bohai Sea.
-
D.
Windeyer County
Windeyer County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
-
E.
Rebel County
Rebel County is a nickname for County Cork in Ireland, reflecting its historic reputation for political defiance and independence.
- F. None of above. chosen
Provenance (5 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363dfd6c8190aaa0b374184965bb |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e7b52d88190b0e095ce39d7a003 |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074f6d79b88190a0b8442af2be0ed1 |
completed | May 15, 2026, 4:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fed47bc8190b1a78dcc50345ca4 |
completed | May 15, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:41 p.m.