Triple
T2276999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States transportation system |
E50792
|
entity |
| Predicate | expandedSignificantlyIn |
P2365
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [United States transportation system, expandedSignificantlyIn, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedSignificantlyIn Context triple: [United States transportation system, expandedSignificantlyIn, 20th century]
-
A.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
B.
expandedDuring
chosen
Indicates that an entity increased in size, scope, or extent over the course of a specified time period or event.
-
C.
expandedAfter
Indicates that one entity increases in size, scope, or extent after another specified event or point in time.
-
D.
expandedSignificantlyInYear
Indicates that an entity underwent a substantial increase or growth during a specified year.
-
E.
expandedElement
Indicates that one element has been unfolded, elaborated, or shown in greater detail relative to its more compact or summarized form.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ee22988190b7fa28b0b62e8668 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.