Triple
T29152000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanoi–Frankfurt |
E738934
|
entity |
| Predicate | linksMajorTransportHub |
P74351
|
FINISHED |
| Object | Frankfurt Airport |
—
|
NE NERFINISHED |
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: Frankfurt Airport | Statement: [Hanoi–Frankfurt, linksMajorTransportHub, Frankfurt Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linksMajorTransportHub Context triple: [Hanoi–Frankfurt, linksMajorTransportHub, Frankfurt Airport]
-
A.
isMajorTransportLinkIn
Indicates that a transport route or connection serves as a primary or significant transportation link within a specified area or region.
-
B.
isMajorTransitPointFor
chosen
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
-
C.
transportationHubType
Indicates the specific kind of transportation hub an entity is (e.g., airport, train station, bus terminal).
-
D.
isMajorTransportLink
Indicates that something serves as a primary or highly significant route or connection for transporting people or goods between places.
-
E.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f662a65da48190adf84c9d5202fbfa |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 11:42 a.m.