Triple
T11707292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Ideas |
E278279
|
entity |
| Predicate | positionOnBitcoin |
P100881
|
FINISHED |
| Object | supports adoption of Bitcoin as legal tender in El Salvador |
—
|
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: supports adoption of Bitcoin as legal tender in El Salvador | Statement: [New Ideas, positionOnBitcoin, supports adoption of Bitcoin as legal tender in El Salvador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnBitcoin Context triple: [New Ideas, positionOnBitcoin, supports adoption of Bitcoin as legal tender in El Salvador]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
C.
frequentlyUsedCoin
Indicates that a particular coin is used often or commonly in transactions or everyday activities.
-
D.
chainPosition
Indicates the position or rank an entity occupies within an ordered chain or sequence relative to other entities.
-
E.
positionInNetwork
Indicates the specific role or location an entity occupies within a network’s structure or topology.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49de0388190a063739426bf90e8 |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.