Triple
T11759739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Thomas Shoal |
E279621
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ren’ai Jiao
Ren’ai Jiao is a disputed reef in the Spratly Islands of the South China Sea, claimed by multiple countries and known internationally as Second Thomas Shoal.
|
E943727
|
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: Ren’ai Jiao | Statement: [Second Thomas Shoal, alsoKnownAs, Ren’ai Jiao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ren’ai Jiao Context triple: [Second Thomas Shoal, alsoKnownAs, Ren’ai Jiao]
-
A.
Xiadu
Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
-
B.
Zhujiajiao
Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
-
C.
Meidi Dadao
Meidi Dadao is a metro station in Guangzhou, China, serving as a terminus on Guangzhou Metro Line 7.
-
D.
Jianshen
Jianshen was the personal given name of the Chenghua Emperor, a Ming dynasty ruler of China who reigned from 1464 to 1487.
-
E.
Xierqi
Xierqi is a major technology and business hub in Beijing, known for its concentration of high-tech companies and convenient transportation links.
- 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: Ren’ai Jiao Triple: [Second Thomas Shoal, alsoKnownAs, Ren’ai Jiao]
Generated description
Ren’ai Jiao is a disputed reef in the Spratly Islands of the South China Sea, claimed by multiple countries and known internationally as Second Thomas Shoal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ren’ai Jiao Target entity description: Ren’ai Jiao is a disputed reef in the Spratly Islands of the South China Sea, claimed by multiple countries and known internationally as Second Thomas Shoal.
-
A.
Xiadu
Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
-
B.
Zhujiajiao
Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
-
C.
Meidi Dadao
Meidi Dadao is a metro station in Guangzhou, China, serving as a terminus on Guangzhou Metro Line 7.
-
D.
Jianshen
Jianshen was the personal given name of the Chenghua Emperor, a Ming dynasty ruler of China who reigned from 1464 to 1487.
-
E.
Xierqi
Xierqi is a major technology and business hub in Beijing, known for its concentration of high-tech companies and convenient transportation links.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5220f148190ae60d1941a579ab6 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a3dfd1081908221c8061931282b |
completed | April 28, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69f03196d1608190999c505e96ce6be7 |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05af9ce808190bc6c1ec2cb9903f9 |
completed | April 28, 2026, 7 a.m. |
Created at: April 8, 2026, 9:41 p.m.