Triple
T10110056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Xiang |
E218215
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | New Xiang |
E218214
|
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: New Xiang | Statement: [Old Xiang, contrastedWith, New Xiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Xiang Context triple: [Old Xiang, contrastedWith, New Xiang]
-
A.
New Xiang
chosen
New Xiang is a modern branch of the Xiang group of Chinese dialects, spoken primarily in parts of Hunan province and influenced by neighboring Mandarin varieties.
-
B.
Ximending
Ximending is a bustling shopping and entertainment district in Taipei known for its youth culture, street performances, and vibrant nightlife.
-
C.
Prince of Xing
The Prince of Xing was the noble title held by the future Jiajing Emperor of the Ming dynasty before he ascended the throne of China.
-
D.
Xiadu
Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
-
E.
Xiang
Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd0cdb3c88190a74f75bf865664f3 |
completed | April 2, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e59ec83c8190a79fbb0d0de90310 |
completed | April 5, 2026, 10:43 p.m. |
Created at: March 30, 2026, 9:03 p.m.