Triple
T5369007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangshui River |
E108798
|
entity |
| Predicate | languageName_zh |
P50222
|
FINISHED |
| Object | 湟水河 |
E108798
|
NE FINISHED |
How this triple was built (3 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: 湟水河 | Statement: [Huangshui River, languageName_zh, 湟水河]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 湟水河 Context triple: [Huangshui River, languageName_zh, 湟水河]
-
A.
汉江
汉江是中国长江中游最大的支流之一，流经陕西、湖北等地并在武汉与长江汇合。
-
B.
Huangshui River
chosen
The Huangshui River is a significant river in Qinghai and Gansu provinces of China, flowing through the city of Xining and playing an important role in the ecology and agriculture of the northeastern Tibetan Plateau.
-
C.
海河
海河是中国北方重要的河流和水系之一，流经天津等地并最终注入渤海。
-
D.
天河
天河是中国广东省广州市的一个重要市辖区，以其现代化的城市景观和繁华的商业中心而闻名。
-
E.
洛河
洛河是一条位于中国中部、历史文化底蕴深厚的河流，在中华古代神话与文学中具有重要地位。
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageName_zh Context triple: [Huangshui River, languageName_zh, 湟水河]
-
A.
languageName
Indicates the specific name assigned to a language in the relationship.
-
B.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
C.
languageLabel
chosen
Indicates the human-readable name or label of a language associated with an entity or resource.
-
D.
languageUsedAs
Indicates that one language is employed in a specific role, function, or context relative to another entity or situation.
-
E.
languageDesigned
Indicates that one entity created or developed the language used or associated with another entity.
- F. None of above.
Provenance (4 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf292c4d1c819088f7b977ac212688 |
completed | March 21, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:02 p.m.