Triple
T10170073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yulin |
E235307
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Yuyang District
Yuyang District is an urban administrative district and the central area of Yulin City in northern Shaanxi Province, China.
|
E897551
|
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: Yuyang District | Statement: [Yulin, hasPart, Yuyang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuyang District Context triple: [Yulin, hasPart, Yuyang District]
-
A.
Yingzhou District
Yingzhou District is an urban administrative district that forms part of the prefecture-level city of Fuyang in Anhui Province, China.
-
B.
Linxiang District
Linxiang District is an urban administrative district that serves as the central seat of Lincang City in Yunnan Province, China.
-
C.
Xiufeng District
Xiufeng District is an urban district and administrative division of Guilin City in Guangxi, China, known for its central location and role in the city's governance and commerce.
-
D.
Fengnan District
Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
E.
Dongchangfu District
Dongchangfu District is the central urban district and administrative seat of Liaocheng in Shandong Province, China.
- 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: Yuyang District Triple: [Yulin, hasPart, Yuyang District]
Generated description
Yuyang District is an urban administrative district and the central area of Yulin City in northern Shaanxi Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuyang District Target entity description: Yuyang District is an urban administrative district and the central area of Yulin City in northern Shaanxi Province, China.
-
A.
Yingzhou District
Yingzhou District is an urban administrative district that forms part of the prefecture-level city of Fuyang in Anhui Province, China.
-
B.
Linxiang District
Linxiang District is an urban administrative district that serves as the central seat of Lincang City in Yunnan Province, China.
-
C.
Xiufeng District
Xiufeng District is an urban district and administrative division of Guilin City in Guangxi, China, known for its central location and role in the city's governance and commerce.
-
D.
Fengnan District
Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
E.
Dongchangfu District
Dongchangfu District is the central urban district and administrative seat of Liaocheng in Shandong Province, China.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9d36608190be78665cc3410cf2 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343941ae481909489cf7a4abdba68 |
completed | April 18, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69e3556ad7ec819095b3babc67ecdfd4 |
completed | April 18, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e358f860f08190bfd10519ff3806aa |
completed | April 18, 2026, 10:12 a.m. |
Created at: March 30, 2026, 9:10 p.m.