Triple
T3596349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longqing Emperor |
E76148
|
entity |
| Predicate | eraName |
P2938
|
FINISHED |
| Object | Longqing |
E373469
|
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: Longqing | Statement: [Longqing Emperor, eraName, Longqing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longqing Context triple: [Longqing Emperor, eraName, Longqing]
-
A.
Longqing
chosen
Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
-
B.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
C.
Yongli
Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
-
D.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
E.
Yuxiang
Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19b26bc8190b3cc0613a1a98361 |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44efeacf481908dd9a26f348f9977 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:22 p.m.