Triple
T33899528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Ireland |
E869008
|
entity |
| Predicate | departurePortAtSinking |
P96318
|
FINISHED |
| Object | Quebec City |
—
|
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: Quebec City | Statement: [SS Empress of Ireland, departurePortAtSinking, Quebec City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departurePortAtSinking Context triple: [SS Empress of Ireland, departurePortAtSinking, Quebec City]
-
A.
placeOfSinking
Indicates the location where an object or entity sank or was submerged.
-
B.
departurePortOnFinalVoyage
chosen
Indicates the port from which an entity (such as a vessel) last departed on its final recorded voyage.
-
C.
shipBoardedFrom
Indicates that an entity boarded a ship originating from or at a specified location or source.
-
D.
routeAtTimeOfSinking
Indicates the specific route an entity (such as a vessel) was following at the time it sank.
-
E.
isPortOfCallFor
Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.