Triple
T1751259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway 400 |
E38446
|
entity |
| Predicate | openedAsFreeway |
P16836
|
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: [Highway 400, openedAsFreeway, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsFreeway Context triple: [Highway 400, openedAsFreeway, 20th century]
-
A.
openedAsTollBridge
Indicates that a bridge was initially opened to traffic as a toll bridge, requiring users to pay a fee to cross.
-
B.
openedToRoadTraffic
chosen
Indicates that something, such as a structure or route, has begun allowing regular use by vehicles or road users.
-
C.
openedRouteThrough
Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
-
D.
servedByFreeway
Indicates that a location or area is directly accessed or connected by a freeway.
-
E.
isUrbanFreeway
Indicates that a roadway segment functions as a high-capacity, limited-access freeway located within an urban area.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.