Triple
T16322171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | England–Australia maritime route |
E396322
|
entity |
| Predicate | typicalArrivalPort |
P1522
|
FINISHED |
| Object | Sydney |
E8462
|
NE FINISHED |
How this triple was built (3 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: Sydney | Statement: [England–Australia maritime route, typicalArrivalPort, Sydney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydney Context triple: [England–Australia maritime route, typicalArrivalPort, Sydney]
-
A.
Sydney
chosen
Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
-
B.
Sydney
Sydney is the spirited, fashionable young woman who serves as the central heroine of Louisa May Alcott’s novel "An Old-Fashioned Girl."
-
C.
Sydney
Sydney is a unisex given name of Old English origin meaning "wide island" that is used in various English-speaking countries.
-
D.
Sydney
Sydney is a character in the British period drama series "Lark Rise to Candleford," which portrays life in two contrasting rural communities in late 19th-century England.
-
E.
Sydney
Sydney is the seasoned professional gambler and mentor who serves as the central character in Paul Thomas Anderson’s crime drama film "Hard Eight."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalArrivalPort Context triple: [England–Australia maritime route, typicalArrivalPort, Sydney]
-
A.
typicalDestinationAirportIATA
Indicates the IATA airport code that is typically the destination in this kind of trip or route.
-
B.
departurePortOnFinalVoyage
Indicates the port from which an entity (such as a vessel) last departed on its final recorded voyage.
-
C.
hasMainPortOfDeparture
Indicates that an entity uses a specified port as its primary location for beginning journeys or departures.
-
D.
placeOfArrival
chosen
Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
-
E.
isPortOfCallFor
Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
- F. None of above.
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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b706108190b43a05b784633050 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f4f8708190ba1a08860e962c66 |
completed | May 10, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.