Triple
T3061768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Mandarin |
E62010
|
entity |
| Predicate | isLargestGroupOf |
P28671
|
FINISHED |
| Object | Mandarin Chinese dialects |
—
|
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: Mandarin Chinese dialects | Statement: [Northern Mandarin, isLargestGroupOf, Mandarin Chinese dialects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestGroupOf Context triple: [Northern Mandarin, isLargestGroupOf, Mandarin Chinese dialects]
-
A.
areLargestGroupIn
chosen
Indicates that one group is the biggest or most numerous among all groups within a specified context or set.
-
B.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
C.
hasLargestAreaOf
Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
-
D.
isLargestTypeOf
Indicates that one entity represents the largest variant, category, or instance within a specified type or group relative to others.
-
E.
isThirdLargestIn
Indicates that an entity ranks as the third largest member within a specified group or set based on size or magnitude.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9f33d88190bd481cb7f18ceb91 |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.