Triple
T13665916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanxi Province |
E327119
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Jin |
E327119
|
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: Jin | Statement: [Shanxi Province, hasAbbreviation, Jin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jin Context triple: [Shanxi Province, hasAbbreviation, Jin]
-
A.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
B.
Jin
chosen
Jin is the standard abbreviation used to refer to Shanxi Province in China.
-
C.
Jin
Jin is a common Korean given name used for people of any gender, often meaning "truth," "treasure," or "precious" depending on the hanja used.
-
D.
Jin
Jin is a central character in the animated film "Abominable," accompanying a young girl and a yeti on an adventurous journey from Shanghai to the Himalayas.
-
E.
Jang
Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc623fcc88190bbad97541c040b7a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0ac4c88190ab6f753c6847eb6e |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.