Triple
T5980211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rungrado 1st of May Stadium |
E133099
|
entity |
| Predicate | hasEnclosedBowlDesign |
P1529
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rungrado 1st of May Stadium, hasEnclosedBowlDesign, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnclosedBowlDesign Context triple: [Rungrado 1st of May Stadium, hasEnclosedBowlDesign, true]
-
A.
includesBowl
Indicates that something contains or has a bowl as one of its components or elements.
-
B.
bowlAccess
Indicates that one entity has the ability or permission to access or use a particular bowl.
-
C.
eraOfPorcelain
Indicates the historical period or era during which a particular style or type of porcelain was produced or prominent.
-
D.
dishType
Indicates the classification of a dish according to its culinary category or role (e.g., appetizer, main course, dessert).
-
E.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.