Triple
T33922113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thống Nhất line |
E869641
|
entity |
| Predicate | isMainCorridor |
P179729
|
FINISHED |
| Object | north–south railway corridor of 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: north–south railway corridor of Vietnam | Statement: [Thống Nhất line, isMainCorridor, north–south railway corridor of Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainCorridor Context triple: [Thống Nhất line, isMainCorridor, north–south railway corridor of Vietnam]
-
A.
otherMainCorridor
Indicates that one corridor is an alternative or secondary main corridor relative to another within the same structure or network.
-
B.
hasCorridor
Indicates that one entity includes, is connected by, or provides access through a corridor to another entity.
-
C.
isMostHeavilyTraveledCorridorIn
Indicates that a particular route or corridor experiences the highest volume of travel or traffic within a specified area or region.
-
D.
inCorridor
Indicates that one entity is located within or inside a corridor relative to another spatial context or reference.
-
E.
isPartOfCorridorSystem
Indicates that one entity forms a component or segment within a larger interconnected corridor system.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727bd39b081908457590c3ba9b745 |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 1:49 a.m.