Triple
T10903531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMS Lusitania |
E257506
|
entity |
| Predicate | departurePortOnFinalVoyage |
P96318
|
FINISHED |
| Object | New York City |
E40
|
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: New York City | Statement: [RMS Lusitania, departurePortOnFinalVoyage, New York City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New York City Context triple: [RMS Lusitania, departurePortOnFinalVoyage, New York City]
-
A.
New York City
chosen
New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
-
B.
NYC
NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
-
C.
New York
New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
-
D.
Manhattan
Manhattan is the densely populated, iconic core borough of New York City, known for its skyscrapers, cultural institutions, and role as a global financial and media center.
-
E.
Manhattan
The Manhattan is a classic whiskey-based cocktail, traditionally made with rye or bourbon, sweet vermouth, and bitters, and typically served stirred and garnished with a cherry.
- 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: departurePortOnFinalVoyage Context triple: [RMS Lusitania, departurePortOnFinalVoyage, New York City]
-
A.
placeOfDeparture
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
-
B.
dateOfDisembarkation
Indicates the specific date on which an individual or entity got off or was released from a vehicle, vessel, or mode of transport.
-
C.
lastEuropeanPortOfCall
Indicates the final European port at which a vessel or traveler stopped before departing for a non-European destination.
-
D.
placeOfArrival
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. chosen
Provenance (5 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a5dffc8190927b0928978646a4 |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373f38cfc8190977d1a59c31dac5f |
completed | April 18, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:22 p.m.