Triple
T28741019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanoi–Dong Dang Railway |
E731239
|
entity |
| Predicate | urbanTerminus |
P1866
|
FINISHED |
| Object | Hanoi railway station |
—
|
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: Hanoi railway station | Statement: [Hanoi–Dong Dang Railway, urbanTerminus, Hanoi railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanTerminus Context triple: [Hanoi–Dong Dang Railway, urbanTerminus, Hanoi railway station]
-
A.
cityOfDetonation
Indicates the city where a detonation event takes place or occurred.
-
B.
undergroundAlternateCommandCenter
Indicates a facility serving as a backup or secondary command center that is located underground.
-
C.
terminusCity
chosen
Indicates that a transportation route or service ends or has its final stop in a particular city.
-
D.
deathCity
Indicates the city in which an entity (typically a person) died.
-
E.
terminusNorth
Indicates that one entity serves as the northern endpoint or final stop of another entity, such as a route, line, or path.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 6:02 a.m.