Triple
T6109458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diaoyutai Lieyu |
E136197
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Feilai Dao |
E569363
|
NE FINISHED |
How this triple was built (2 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: Feilai Dao | Statement: [Diaoyutai Lieyu, hasIsland, Feilai Dao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feilai Dao Context triple: [Diaoyutai Lieyu, hasIsland, Feilai Dao]
-
A.
Beixiao Dao
chosen
Beixiao Dao is a small islet within the Diaoyutai (Senkaku) Islands group in the East China Sea, known for being part of a long-standing territorial dispute.
-
B.
Wujing
Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
-
C.
Xingzhen
Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
-
D.
Shaowu
Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
-
E.
Dongshan Liangjie
Dongshan Liangjie was a 9th-century Chinese Chan master regarded as the founder of the Caodong (Sōtō) school of Zen Buddhism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b835ed48190971c3ba397ca329f |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13598c54c8190b3701de83005875c |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:13 p.m.