Triple
T14685760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intercity D set (Mariyung) |
E344902
|
entity |
| Predicate | hasClassName |
P115320
|
FINISHED |
| Object | D set |
—
|
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: D set | Statement: [Intercity D set (Mariyung), hasClassName, D set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassName Context triple: [Intercity D set (Mariyung), hasClassName, D set]
-
A.
hasClass
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
B.
hasClassOptions
Indicates that an entity is associated with one or more selectable class options or classifications.
-
C.
hasClassGroup
Indicates that an entity belongs to or is associated with a particular class group or category.
-
D.
hasCharacterClass
Indicates that an entity (such as a character) belongs to or is assigned a particular character class or role type.
-
E.
hasNavigationClass
Indicates that an entity is assigned to, or associated with, a particular navigation-related classification or category.
- F. None of above. chosen
Provenance (4 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56bdb8081909ff86440ba20fb1f |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.