Triple
T18611618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pu-Xian Min |
E454906
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Puxian Min |
—
|
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: Puxian Min | Statement: [Pu-Xian Min, hasAlternativeName, Puxian Min]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puxian Min Context triple: [Pu-Xian Min, hasAlternativeName, Puxian Min]
-
A.
Puxian Min
chosen
Puxian Min is a variety of the Min Chinese language group spoken mainly in Putian and Xianyou in Fujian province, known for its distinct phonology and vocabulary.
-
B.
Xianghua
Xianghua is a swift, sword-wielding Chinese warrior and one of the central playable fighters in the Soulcalibur fighting game series.
-
C.
Panchiao
Panchiao is an older romanization of Banqiao District, a major urban district and transportation hub in New Taipei City, Taiwan.
-
D.
Jingxi Zhuang
Jingxi Zhuang is a variety of the Zhuang language spoken in the Jingxi region of Guangxi, China, belonging to the Central Tai branch of the Tai–Kadai language family.
-
E.
Xiaochang
Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d01ebd08190b6e646e3a749d7f5 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.