Triple
T3015194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 苏 |
E82319
|
entity |
| Predicate | usedInAbbreviationPair |
P36183
|
FINISHED |
| Object | 苏、浙、沪等华东地区简称 |
—
|
LITERAL 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: 苏、浙、沪等华东地区简称 | Statement: [苏, usedInAbbreviationPair, 苏、浙、沪等华东地区简称]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAbbreviationPair Context triple: [苏, usedInAbbreviationPair, 苏、浙、沪等华东地区简称]
-
A.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
B.
notAbbreviationOf
Indicates that one term is explicitly asserted not to be an abbreviation or shortened form of another term.
-
C.
abbreviationUsedFor
chosen
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
D.
usedInFullNameOf
Indicates that one entity (such as a word, name part, or title) is used as a component within the complete formal name of another entity.
-
E.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
- F. None of above.
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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6b37288190a6965d183ca4b08b |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.