Triple
T20146016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komagata Maru |
E491304
|
entity |
| Predicate | stopoverLocation |
P138842
|
FINISHED |
| Object | Shanghai |
—
|
NE NERFINISHED |
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: Shanghai | Statement: [Komagata Maru, stopoverLocation, Shanghai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shanghai Context triple: [Komagata Maru, stopoverLocation, Shanghai]
-
A.
Shanghai
chosen
Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
-
B.
Shanghai
Shanghai is a major Ethereum network upgrade that introduced key changes such as enabling staked ETH withdrawals and improving the protocol’s efficiency and flexibility.
-
C.
Shanghai
Shanghai is an unincorporated community located in Berkeley County, West Virginia, United States.
-
D.
Hangtou
Hangtou is a town in Shanghai, China, known as the southern terminus of the Shanghai Metro’s Line 18.
-
E.
Beijing
Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
- 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: stopoverLocation Context triple: [Komagata Maru, stopoverLocation, Shanghai]
-
A.
stopoverAirport
Indicates that an itinerary or flight includes a particular airport as an intermediate stop between the origin and final destination.
-
B.
stopoverCountry
Indicates that a journey or flight includes an intermediate stop in a specified country before reaching its final destination.
-
C.
stopoverAirportOfHijackedFlight
Indicates that an airport served as an intermediate stopover point for a flight that was hijacked.
-
D.
aircraftStopover
Indicates that an aircraft makes an intermediate stop at a specific location during its journey between origin and final destination.
-
E.
typicalStopoverCity
Indicates that a city commonly serves as an intermediate stop or layover point in a journey between other locations.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:33 p.m.