Triple
T3721687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fischer |
E81650
|
entity |
| Predicate | frequencyRankInGermany |
P45181
|
FINISHED |
| Object | among most common surnames in Germany |
—
|
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: among most common surnames in Germany | Statement: [Fischer, frequencyRankInGermany, among most common surnames in Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyRankInGermany Context triple: [Fischer, frequencyRankInGermany, among most common surnames in Germany]
-
A.
rankWithinGermanStates
Indicates the relative position or standing of an entity compared to others within the set of German federal states.
-
B.
rankingInCountry
chosen
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
C.
frequencyRankInUnitedStates
Indicates the relative position of something in an ordered list based on how frequently it occurs within the United States.
-
D.
chartPositionGermanSinglesChart
Indicates the position an item reached on the German singles music chart.
-
E.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9d29208190bbf38a6aa88f954a |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.