Triple
T3506658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Garden |
E74091
|
entity |
| Predicate | hasBasketballConfiguration |
P31105
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Rose Garden, hasBasketballConfiguration, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasketballConfiguration Context triple: [Rose Garden, hasBasketballConfiguration, yes]
-
A.
hasBasketballLevel
Indicates that an entity possesses a specified level of skill, proficiency, or ranking in basketball.
-
B.
representsInBasketball
Indicates that one entity serves as an official representative (such as an agent, delegate, or spokesperson) for another entity specifically in the context of basketball.
-
C.
hasBallcourt
chosen
Indicates that a place, structure, or site includes or is equipped with a ballcourt as one of its features.
-
D.
hasBasketballTournament
Indicates that a basketball tournament is organized, hosted, or associated with a particular entity or context.
-
E.
containsBasket
Indicates that one entity includes or holds a basket as part of its contents or composition.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf52bd8819085a2ac5f48cc5c68 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.