Triple
T23194987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lin Zexu |
E579848
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Puning |
—
|
NE NERFINISHED |
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: Puning | Statement: [Lin Zexu, placeOfDeath, Puning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puning Context triple: [Lin Zexu, placeOfDeath, Puning]
-
A.
Siping
Siping is a prefecture-level city in northeastern China known for its agricultural base and strategic location within Jilin Province.
-
B.
Liye
Liye is an archaeological site in Hunan, China, renowned for yielding a large cache of Qin dynasty bamboo slips that significantly expanded knowledge of early Chinese legal and administrative systems.
-
C.
Bocheng
Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
-
D.
Püning
chosen
Püning is a place name that appears as an alternative transliteration of "Puening," likely referring to a locality or settlement whose spelling varies between languages or writing systems.
-
E.
Zao Town
Zao Town is a rural Japanese town known for its hot springs, ski resorts, and scenic volcanic landscapes in northeastern Honshu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fda64cc8190aeb5ccd8d8d20858 |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.