Triple
T265518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitcoin |
E5715
|
entity |
| Predicate | thirdHalvingYear |
P8891
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Bitcoin, thirdHalvingYear, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdHalvingYear Context triple: [Bitcoin, thirdHalvingYear, 2020]
-
A.
reversionYear
Indicates the year in which something returns to a previous state, condition, or ownership.
-
B.
firstDeployed
Indicates the time or event when something (such as a system, product, or resource) was initially put into active use or operation.
-
C.
decimalisationDate
Indicates the date on which a system, currency, or measurement was converted to a decimal-based format.
-
D.
yearDecided
Indicates the specific calendar year in which a decision, ruling, or resolution was formally made or finalized.
-
E.
firstDeployedFor
Indicates that an entity was initially deployed or put into operational use specifically for another entity (such as a project, mission, or organization).
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d8f9bbc8190a13841e4de093a66 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c8ae480819094f6d1bb0a6d2eb2 |
completed | Feb. 28, 2026, 3:10 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.