Triple
T10434909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lithuania–United States relations |
E246012
|
entity |
| Predicate | nonRecognitionPeriodStart |
P93572
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Lithuania–United States relations, nonRecognitionPeriodStart, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonRecognitionPeriodStart Context triple: [Lithuania–United States relations, nonRecognitionPeriodStart, 1940]
-
A.
banPeriodStart
Indicates the date or time at which a ban or prohibition begins to take effect.
-
B.
reauthorizationPeriodStart
Indicates the point in time when a new or renewed authorization period begins.
-
C.
grantPeriodStart
Indicates the date or time at which a grant’s active period or coverage begins.
-
D.
focusPeriodStart
Indicates the point in time at which a specified focus period or interval begins.
-
E.
coversPeriodStart
Indicates that the time span or coverage of one entity begins at, or includes, the specified starting point in time of another entity or period.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea67344c81909984ab99b0ef1e64 |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91de3088190ae89cbb12fb29db8 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:14 p.m.