Triple
T16470686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6200 Princess Royal |
E400050
|
entity |
| Predicate | classNumberInClass |
P89977
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [6200 Princess Royal, classNumberInClass, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classNumberInClass Context triple: [6200 Princess Royal, classNumberInClass, 1]
-
A.
numberInClass
Indicates that a specified entity is a member of, or belongs to, a particular class or category.
-
B.
numberWithinClass
chosen
Indicates that an entity has a specific numerical value or position that is defined relative to a particular class or category it belongs to.
-
C.
currentNumberOfClasses
Indicates the present count of classes associated with or contained by a given entity.
-
D.
classStrength
Indicates the relative power, influence, or effectiveness associated with a particular class or category in a given context.
-
E.
courseNumber
Indicates the specific numeric identifier assigned to a course within an educational curriculum or catalog.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:11 a.m.