Triple
T2700890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Masterworks |
E59224
|
entity |
| Predicate | labelCodeType |
P42071
|
FINISHED |
| Object | LP |
—
|
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: LP | Statement: [Columbia Masterworks, labelCodeType, LP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelCodeType Context triple: [Columbia Masterworks, labelCodeType, LP]
-
A.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
B.
legalCodeType
Indicates the specific category or classification of a legal code that applies to an entity or situation.
-
C.
catalogCode
Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
-
D.
regionCodeType
Indicates the classification or format type used for a given region code within a coding or identification system.
-
E.
numericCode
Indicates that an entity is associated with a specific numerical identifier or classification code.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda4c8d34819094f5e4cbc5a4bb9b |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.