Triple
T23154127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godwin's Law |
E578395
|
entity |
| Predicate | hasFormulationYear |
P13128
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [Godwin's Law, hasFormulationYear, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormulationYear Context triple: [Godwin's Law, hasFormulationYear, 1990]
-
A.
formulatedInYear
chosen
Indicates the specific calendar year in which something was originally created, devised, or formally established.
-
B.
hasFormulation
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
C.
derivationYear
Indicates the year in which something was derived, produced, or generated from a source.
-
D.
originallyFormulatedIn
Indicates that something (such as a theory, idea, or work) was first created, expressed, or formally stated in a particular place or time.
-
E.
hasFormulationPeriod
Indicates the time span during which something is planned, designed, or developed before it is finalized or implemented.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efbe9a08190bcb6e822b8eab544 |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.