Triple
T9068705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Standard Recording Code |
E217307
|
entity |
| Predicate | designationCodeLength |
P33158
|
FINISHED |
| Object | 5 digits |
—
|
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: 5 digits | Statement: [International Standard Recording Code, designationCodeLength, 5 digits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationCodeLength Context triple: [International Standard Recording Code, designationCodeLength, 5 digits]
-
A.
identifierLength
chosen
Indicates the length or number of characters in an entity’s identifier.
-
B.
numericCode
Indicates that an entity is associated with a specific numerical identifier or classification code.
-
C.
labelCodeType
Indicates that one entity serves as the type or classification scheme for the labeling code applied to another entity.
-
D.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
-
E.
hasFourLetterCode
Indicates that an entity is associated with a code consisting of exactly four characters.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.