Triple
T10130039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuchang |
E226312
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Xǔchāng |
E226312
|
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: Xǔchāng | Statement: [Xuchang, romanization, Xǔchāng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xǔchāng Context triple: [Xuchang, romanization, Xǔchāng]
-
A.
Xianning
Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
-
B.
Xiuning
Xiuning is a county-level city in Anhui Province, China, known for its traditional Huizhou culture, historic architecture, and scenic mountainous landscapes.
-
C.
Xuchang
chosen
Xuchang is a historically significant city in central China, known as a former capital during the Three Kingdoms period and now an important industrial and transportation hub.
-
D.
Xiangyang
Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
-
E.
Suining Xiang
Suining Xiang is a regional variety of the Xiang group of Chinese dialects spoken in and around Suining in Hunan Province, China.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33438988190be45878f98695816 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317552b6081909a2e82e554a8f96e |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9:05 p.m.