Triple
T3582945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish markka |
E75842
|
entity |
| Predicate | goldStandardSuspensionYear |
P42789
|
FINISHED |
| Object | 1914 |
—
|
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: 1914 | Statement: [Finnish markka, goldStandardSuspensionYear, 1914]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldStandardSuspensionYear Context triple: [Finnish markka, goldStandardSuspensionYear, 1914]
-
A.
suspensionYear
chosen
Indicates the year in which a suspension (such as a ban, halt, or temporary discontinuation of activity) takes effect or is recorded.
-
B.
goldenSpikesAwardYear
Indicates the year in which a Golden Spikes Award was given or associated with a particular recipient or event.
-
C.
goldenGlobeYear
Indicates the specific year in which a Golden Globe award or nomination associated with an entity took place.
-
D.
initialAwardYear
Indicates the year in which an entity first received a particular award.
-
E.
suppressionYear
Indicates the year in which the referenced activity, expression, or entity was formally suppressed, halted, or forcibly discontinued.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc104846c81908b6fbde7061464b4 |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.