Triple
T29151926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanoi–Ho Chi Minh City |
E738932
|
entity |
| Predicate | isBusiestDomesticRouteIn |
P152159
|
FINISHED |
| Object | Vietnam |
—
|
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: Vietnam | Statement: [Hanoi–Ho Chi Minh City, isBusiestDomesticRouteIn, Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBusiestDomesticRouteIn Context triple: [Hanoi–Ho Chi Minh City, isBusiestDomesticRouteIn, Vietnam]
-
A.
isOneOfBusiestInternationalRoutes
Indicates that a route ranks among the most heavily used or frequently traveled international connections.
-
B.
isBusiestPassengerRailLineIn
Indicates that a passenger rail line is the one with the highest level of use or traffic within a specified geographic area or system.
-
C.
isDomesticRouteIn
chosen
Indicates that a transportation route operates entirely within the boundaries of a specified country or internal region.
-
D.
operatesLongHaulRouteFrom
Indicates that an entity (typically a transportation carrier) runs long-distance routes originating from a specified location.
-
E.
majorInternationalRoutesTo
Indicates that there are significant, globally important transportation routes (such as air, sea, or land corridors) connecting one location to another.
- 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_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:42 a.m.