Triple
T7946451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhenwu |
E184509
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Xuanwu |
E704499
|
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: Xuanwu | Statement: [Zhenwu, alternateName, Xuanwu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xuanwu Context triple: [Zhenwu, alternateName, Xuanwu]
-
A.
Xuanwu
chosen
Xuanwu is a prominent Taoist deity associated with the north, water, and martial protection, often depicted as a warrior accompanied by a tortoise and snake.
-
B.
Qiaocheng
Qiaocheng is a historical name for the area now known as Bozhou, a city in Anhui Province, China, with a long history and cultural significance.
-
C.
Sanxiantai
Sanxiantai is a scenic coastal area and small offshore island in eastern Taiwan, famous for its arched footbridge, unique rock formations, and rich marine ecology.
-
D.
Jinqiao
Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
-
E.
Xuanwu District
Xuanwu District is a central district of Nanjing, China, known for its historical and cultural landmarks and scenic parks.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5650cfb08190846e040f85c8369d |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:09 p.m.