Triple
T1603576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Han dynasty |
E34448
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Ban Liang coin |
E181419
|
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: Ban Liang coin | Statement: [Han dynasty, currency, Ban Liang coin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ban Liang coin Context triple: [Han dynasty, currency, Ban Liang coin]
-
A.
Banliang coin
chosen
The Banliang coin was an early standardized round bronze coin with a square hole that became the model for later Chinese cash coins.
-
B.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
C.
Jing
Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
-
D.
piastre of French Indochina
The piastre of French Indochina was the colonial monetary unit used across French-controlled territories in Southeast Asia, including present-day Vietnam, Laos, and Cambodia, during the late 19th and early 20th centuries.
-
E.
Shi
Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9094f96ec819090286c21b3dfddd5 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51bcdebc81909520786c560598b6 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 4, 2026, 7:28 p.m.