Triple
T35714639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertha Benz |
E1031964
|
entity |
| Predicate | yearOfHistoricDrive |
P102571
|
FINISHED |
| Object | 1888 |
—
|
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: 1888 | Statement: [Bertha Benz, yearOfHistoricDrive, 1888]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfHistoricDrive Context triple: [Bertha Benz, yearOfHistoricDrive, 1888]
-
A.
historicalDriver
Indicates that an entity served as a driver of or significantly contributed to another entity in the past.
-
B.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
C.
historicRacingCar
Indicates that an entity is a racing car of historical significance, typically from a past era of motorsport competition.
-
D.
hasHistoricEventYear
chosen
Indicates the specific year in which a referenced historic event took place.
-
E.
raceYear
Indicates the specific calendar year in which a particular race event takes place.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 3, 2026, 4:05 p.m.