Triple
T7357501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doncaster Sheffield Airport |
E169661
|
entity |
| Predicate | openedToPassengerTraffic |
P77038
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Doncaster Sheffield Airport, openedToPassengerTraffic, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToPassengerTraffic Context triple: [Doncaster Sheffield Airport, openedToPassengerTraffic, 2005]
-
A.
openedForThroughTraffic
Indicates that a route or segment is available and accessible for vehicles to pass through (not just for local access), allowing continuous through traffic.
-
B.
openedToRailTraffic
Indicates that a rail line, track, or related infrastructure has begun operating and is officially available for use by train traffic.
-
C.
openedToGoodsTraffic
Indicates that a route, facility, or infrastructure was officially made available for the movement and handling of goods or freight traffic.
-
D.
openedToRoadTraffic
Indicates that something, such as a structure or route, has begun allowing regular use by vehicles or road users.
-
E.
hasPassengerTrafficFrom
Indicates that an entity receives or handles passenger traffic originating from another entity.
- F. None of above. chosen
Provenance (4 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f26c050c8190a2d009b45d920490 |
completed | March 27, 2026, 9:11 p.m. |
Created at: March 27, 2026, 3:06 p.m.