Triple
T7592040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celtic harp |
E179755
|
entity |
| Predicate | typicalStringCount |
P30141
|
FINISHED |
| Object | 22–38 strings |
—
|
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: 22–38 strings | Statement: [Celtic harp, typicalStringCount, 22–38 strings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStringCount Context triple: [Celtic harp, typicalStringCount, 22–38 strings]
-
A.
numberOfStrings
chosen
Indicates the quantity of strings associated with or contained by an entity.
-
B.
hasCommonStringCount
Indicates that two entities share a specified number of identical string values in common.
-
C.
numberOfStringQuintets
Indicates the quantity of groups consisting of five string instruments involved in or associated with the subject.
-
D.
numberOfStringQuartets
Indicates the quantity of string quartets associated with a given entity.
-
E.
numberOfCommonUseCharacters
Indicates the count of characters that are shared in common between two entities’ representations or strings.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b92c348190b547f0aacfb8d6be |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e04c2c8190a889d928515d9b8e |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.