Triple
T7518041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna House Magic Circus |
E177694
|
entity |
| Predicate | hasNumberOfStars |
P3335
|
FINISHED |
| Object | 4-star hotel |
—
|
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: 4-star hotel | Statement: [Vienna House Magic Circus, hasNumberOfStars, 4-star hotel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfStars Context triple: [Vienna House Magic Circus, hasNumberOfStars, 4-star hotel]
-
A.
starCount
chosen
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
B.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
C.
numberOfMemberStars
Indicates the count of individual stars that are members of a specified stellar system or group.
-
D.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
E.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f6ccc8819080ffd123fdd59a50 |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.