Triple
T4063007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German autobahn network |
E86257
|
entity |
| Predicate | expandedSignificantlyDuring |
P2365
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [German autobahn network, expandedSignificantlyDuring, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedSignificantlyDuring Context triple: [German autobahn network, expandedSignificantlyDuring, 1930s]
-
A.
expandedDuring
chosen
Indicates that an entity increased in size, scope, or extent over the course of a specified time period or event.
-
B.
expandedSignificantlyInYear
Indicates that an entity underwent a substantial increase or growth during a specified year.
-
C.
expandedAfter
Indicates that one entity increases in size, scope, or extent after another specified event or point in time.
-
D.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
E.
extendedIn
Indicates that one entity continues, prolongs, or expands the scope, duration, or range of another entity.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.