Triple
T27638945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitcoin testnet |
E696536
|
entity |
| Predicate | hasNetworkMagic |
P74592
|
FINISHED |
| Object | 0x0b110907 |
—
|
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: 0x0b110907 | Statement: [Bitcoin testnet, hasNetworkMagic, 0x0b110907]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetworkMagic Context triple: [Bitcoin testnet, hasNetworkMagic, 0x0b110907]
-
A.
hasMagicNumber
chosen
Indicates that an entity is associated with a specific designated "magic" number, often used as a special identifier or constant in a given context.
-
B.
isMagicNucleus
Indicates that a nucleus possesses a "magic" number of nucleons or nucleon types, conferring exceptional stability in nuclear structure.
-
C.
hasNetworkName
Indicates that an entity is associated with a specific network identifier or name.
-
D.
hasNetworkSize
Indicates the total number of nodes, members, or connections that make up a given network.
-
E.
hasTempleNetwork
Indicates that an entity maintains or is part of an interconnected system or network of temples.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 27, 2026, 2:25 p.m.