Triple
T9972371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keyboard Monument |
E196237
|
entity |
| Predicate | hasNumberOfKeys |
P27181
|
FINISHED |
| Object | approximately 86 |
—
|
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: approximately 86 | Statement: [Keyboard Monument, hasNumberOfKeys, approximately 86]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfKeys Context triple: [Keyboard Monument, hasNumberOfKeys, approximately 86]
-
A.
hasKeyQuantity
chosen
Indicates that an entity is associated with a primary or defining quantity that characterizes or measures it.
-
B.
hasNumberOfObjects
Indicates that an entity is associated with a specific count or quantity of objects.
-
C.
hasNumberOfFields
Indicates the specific count of fields or distinct data elements that an entity possesses.
-
D.
hasKeyFunction
Indicates that one entity serves as a primary or essential function or role for another entity.
-
E.
hasNumberOfLocks
Indicates the quantity of locks that an entity possesses or is equipped with.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7bb03688190a3f4fc1988b8fafa |
completed | April 2, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:48 p.m.