Triple
T23485453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North–South Railway of Vietnam |
E570520
|
entity |
| Predicate | connectsLargestCity |
P56161
|
FINISHED |
| Object | Ho Chi Minh City |
—
|
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: Ho Chi Minh City | Statement: [North–South Railway of Vietnam, connectsLargestCity, Ho Chi Minh City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsLargestCity Context triple: [North–South Railway of Vietnam, connectsLargestCity, Ho Chi Minh City]
-
A.
connectsLargestCitiesOf
Indicates a relationship where something (typically a route, network, or infrastructure) links together the largest cities within a specified region or set.
-
B.
connectsMajorCity
chosen
Indicates that one entity serves as a link or route providing direct connection to a major city.
-
C.
connectsCity
Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
-
D.
connectsCityTo
Indicates a relationship in which a route, infrastructure, or link joins one city to another, enabling connection or interaction between them.
-
E.
connectsMajorCityState
Indicates that something serves as a link or route between a major city and the state it belongs to.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7538a8c8190b7effcc39a3f9787 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:03 p.m.