Triple
T30476142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bến Nhà Rồng |
E775448
|
entity |
| Predicate | departureDestination |
P35234
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [Bến Nhà Rồng, departureDestination, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departureDestination Context triple: [Bến Nhà Rồng, departureDestination, France]
-
A.
destinationOfFlight
Indicates the location or place to which a given flight is traveling or scheduled to arrive.
-
B.
destinationCity
chosen
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
-
C.
destinationAirportName
Indicates the name of the airport that serves as the destination in a travel or flight-related relationship.
-
D.
destinationAirportLocation
Indicates the geographic location associated with the airport that serves as the destination in a trip or flight.
-
E.
placeOfDeparture
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687192fc88190abd451b2941b421e |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:11 p.m.