Triple
T1330778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano |
E28638
|
entity |
| Predicate | hasRange |
P27293
|
FINISHED |
| Object | A0 to C8 |
—
|
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: A0 to C8 | Statement: [Piano, hasRange, A0 to C8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRange Context triple: [Piano, hasRange, A0 to C8]
-
A.
hasDayNumberRange
Indicates that something is associated with a contiguous range of day numbers between a specified minimum and maximum value.
-
B.
rangeType
Indicates the type or category of values that can appear in the range (output) position of a property or relation.
-
C.
rangeRestricted
Indicates that the relationship or action applies only within a specified, limited subset of a broader domain or scope.
-
D.
hostRange
Indicates the range or set of different hosts that an organism, agent, or system can successfully inhabit, infect, or interact with.
-
E.
rangeCapability
Indicates the maximum distance or extent over which an entity can effectively operate, function, or exert its effect.
- F. None of above. chosen
Provenance (4 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c449bc8190acb6603a0ddac7fd |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c0b1326081909aa6beec0cfe8d6c |
completed | March 1, 2026, 10:41 p.m. |
Created at: March 1, 2026, 7:55 p.m.