Triple
T35479180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanamaker Grand Court Organ |
E1025421
|
entity |
| Predicate | hasNumberOfKeyboards |
P137740
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Wanamaker Grand Court Organ, hasNumberOfKeyboards, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfKeyboards Context triple: [Wanamaker Grand Court Organ, hasNumberOfKeyboards, 6]
-
A.
hasKeyboardCount
chosen
Indicates the number of keyboards associated with a given entity.
-
B.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
C.
hasKeyboardBy
Indicates that an entity is equipped with or uses a keyboard provided, installed, or controlled by another entity.
-
D.
keyboards
Indicates that an entity uses or operates a keyboard to input data or control another entity.
-
E.
keyboardsBy
Indicates that one entity is the creator, manufacturer, or provider of keyboards 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
Created at: May 3, 2026, 4:04 p.m.