Triple
T35725794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 延河 |
E1032607
|
entity |
| Predicate | 相关景观 |
P45658
|
FINISHED |
| Object |
延河大桥
延河大桥是一座横跨延河、连接沿岸城区与景区的重要桥梁景观,也是延安红色旅游线路上的标志性建筑之一。
|
E2153494
|
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: 延河大桥 | Statement: [延河, 相关景观, 延河大桥]
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: 延河大桥 Triple: [延河, 相关景观, 延河大桥]
Generated description
延河大桥是一座横跨延河、连接沿岸城区与景区的重要桥梁景观,也是延安红色旅游线路上的标志性建筑之一。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 相关景观 Context triple: [延河, 相关景观, 延河大桥]
-
A.
landscapeElement
chosen
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
B.
生态定位
Indicates the ecological role or niche an organism occupies within its environment, including its functional position and interactions in the ecosystem.
-
C.
所属园林体系
Indicates that one entity belongs to, or is part of, a particular garden or landscape management system.
-
D.
流域特点
Indicates the characteristic features or attributes that define a river basin’s natural or environmental conditions.
-
E.
所属国立公園・風景地
Indicates the national park or scenic area to which something belongs or is designated.
- F. None of above.
Provenance (6 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d195f408190b0567548ea3fd7a3 |
completed | June 22, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_6a387e0b606c819093d074bde21518d2 |
completed | June 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3880fb52d4819099c2bdba7e7d948f |
completed | June 22, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.