Triple
T26964424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hear in the Now Frontier |
E679131
|
entity |
| Predicate | catalogCodeExample |
P8090
|
FINISHED |
| Object | CDP 7243 8 55205 2 5 |
—
|
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: CDP 7243 8 55205 2 5 | Statement: [Hear in the Now Frontier, catalogCodeExample, CDP 7243 8 55205 2 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogCodeExample Context triple: [Hear in the Now Frontier, catalogCodeExample, CDP 7243 8 55205 2 5]
-
A.
catalogCode
chosen
Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
-
B.
collectionCode
Indicates the specific identifier or code assigned to the collection to which an item or resource belongs.
-
C.
catalog
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
D.
codeExample
Indicates that one entity provides a snippet or sample of source code that illustrates how to use, implement, or demonstrate another entity.
-
E.
platformCode
Indicates the specific code or identifier assigned to a platform (such as a station platform or service platform) associated with the subject entity.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620eea9a88190aa5096c3d1fc3cad |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:34 a.m.