Triple
T31976342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 澜沧江 |
E816457
|
entity |
| Predicate | 流经主要城市 |
P14915
|
FINISHED |
| Object |
西双版纳景洪市
西双版纳景洪市是位于中国云南省南部、以热带雨林风光和多元少数民族文化著称的边境旅游城市。
|
E1987242
|
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: 西双版纳景洪市 | Statement: [澜沧江, 流经主要城市, 西双版纳景洪市]
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: 西双版纳景洪市 Triple: [澜沧江, 流经主要城市, 西双版纳景洪市]
Generated description
西双版纳景洪市是位于中国云南省南部、以热带雨林风光和多元少数民族文化著称的边境旅游城市。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 流经主要城市 Context triple: [澜沧江, 流经主要城市, 西双版纳景洪市]
-
A.
hasMajorCityOnRiver
chosen
Indicates that a major city is located on and directly associated with a particular river.
-
B.
hasMajorCityOnRoute
Indicates that a major city lies along, or is directly served by, a specified route or path between locations.
-
C.
hasMajorTownOnRiver
Indicates that a major town is located on and directly associated with a particular river.
-
D.
流域人口
Indicates the number of people living within a river basin or watershed area.
-
E.
riverSeparatingCity
Indicates that a river runs between and divides parts of a city or separates one city from another.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b344b24881908bf1da55fd9b3a97 |
completed | May 3, 2026, 2:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2eb14cf0f88190a97174426cb191ca |
completed | June 14, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a2eb286d73881909e7a2352a3696226 |
completed | June 14, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2eb43a83e48190821839ed8957d14c |
completed | June 14, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:11 a.m.