Triple
T19900283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jing River |
E478265
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
泾河
泾河是中国黄河的重要支流之一,流经甘肃、宁夏和陕西等地,以其在关中平原灌溉和区域生态中的作用而著称。
|
E1401300
|
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: 泾河 | Statement: [Jing River, hasChineseName, 泾河]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 泾河 Context triple: [Jing River, hasChineseName, 泾河]
-
A.
褒河
褒河是一条位于中国陕西省南部的河流,流经汉中地区并以其历史文化遗迹和沿岸自然风光而闻名。
-
B.
延河
延河是中国黄土高原上一条重要支流河流,流经陕西省延安地区并最终汇入黄河。
-
C.
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。
-
D.
伊河
伊河是一条位于中国河南省中西部的河流,流经洛阳等地并最终汇入洛河,对当地农业灌溉和区域水系具有重要作用。
-
E.
汾河
汾河是中国山西省境内黄河第二大支流,也是该省重要的母亲河和生态、经济发展轴线之一。
- 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: 泾河 Triple: [Jing River, hasChineseName, 泾河]
Generated description
泾河是中国黄河的重要支流之一,流经甘肃、宁夏和陕西等地,以其在关中平原灌溉和区域生态中的作用而著称。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 泾河 Target entity description: 泾河是中国黄河的重要支流之一,流经甘肃、宁夏和陕西等地,以其在关中平原灌溉和区域生态中的作用而著称。
-
A.
褒河
褒河是一条位于中国陕西省南部的河流,流经汉中地区并以其历史文化遗迹和沿岸自然风光而闻名。
-
B.
延河
延河是中国黄土高原上一条重要支流河流,流经陕西省延安地区并最终汇入黄河。
-
C.
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。
-
D.
伊河
伊河是一条位于中国河南省中西部的河流,流经洛阳等地并最终汇入洛河,对当地农业灌溉和区域水系具有重要作用。
-
E.
汾河
汾河是中国山西省境内黄河第二大支流,也是该省重要的母亲河和生态、经济发展轴线之一。
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65940cf8c8190b74e51635410e48a |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea45582c81908ca3fc6009702e08 |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07ef251640819080c43288d2491d7d |
completed | May 16, 2026, 4:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ef9c92b881908e65aefb90ab18da |
completed | May 16, 2026, 4:16 a.m. |
Created at: April 10, 2026, 1:52 p.m.