Triple
T13623165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hutuo River |
E325507
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Luquan District |
E1106218
|
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: Luquan District | Statement: [Hutuo River, flowsThrough, Luquan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luquan District Context triple: [Hutuo River, flowsThrough, Luquan District]
-
A.
Luquan District
chosen
Luquan District is an administrative district of Shijiazhuang in Hebei Province, China, known for its mix of urban areas and surrounding mountainous and riverine landscapes.
-
B.
Shangzhou District
Shangzhou District is an urban administrative district in Shangluo, Shaanxi Province, China, serving as the city's political and economic center.
-
C.
Yantan District
Yantan District is an urban administrative district of Zigong, a prefecture-level city in Sichuan Province, China.
-
D.
Dongsheng District
Dongsheng District is the central urban district and administrative hub of Ordos City in Inner Mongolia, China.
-
E.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9b0b648190afee93121483f45f |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd9498f8848190a170a3d41c9e3a76 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 9, 2026, 9:50 p.m.