Triple
T1705529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corinthian order |
E36864
|
entity |
| Predicate | columnHasFlutes |
P32470
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Corinthian order, columnHasFlutes, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: columnHasFlutes Context triple: [Corinthian order, columnHasFlutes, 24]
-
A.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
B.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
-
C.
usesClef
Indicates that one entity employs or applies a particular clef in a musical notation context.
-
D.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
E.
numberOfOrganPipes
Indicates the quantitative relationship specifying how many organ pipes are associated with a given organ or organ-related entity.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab75ad24408190814069e6e3ef9e59 |
completed | March 7, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69aa61bad17c8190861b92cfb423f68f |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab75ac1408819086b22b3cd0672a79 |
completed | March 7, 2026, 12:47 a.m. |
Created at: March 4, 2026, 7:30 p.m.