Triple
T35540392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMS Carpathia |
E1027042
|
entity |
| Predicate | passengersDuringSinking |
P184055
|
FINISHED |
| Object | mostly crew and a small number of passengers |
—
|
LITERAL FINISHED |
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: mostly crew and a small number of passengers | Statement: [RMS Carpathia, passengersDuringSinking, mostly crew and a small number of passengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengersDuringSinking Context triple: [RMS Carpathia, passengersDuringSinking, mostly crew and a small number of passengers]
-
A.
passengerSurvivors
Indicates that the related passengers survived an incident or event.
-
B.
passengersAtTimeOfDestruction
Indicates that the specified passengers were present on or associated with the entity (e.g., a vehicle or vessel) at the moment it was destroyed.
-
C.
crewComplementAtSinking
Indicates the number or composition of a vessel’s crew present on board at the time it sank.
-
D.
fatalitiesOnboard
Indicates that the relationship specifies the number of people who died among those present on a particular vehicle or craft.
-
E.
casualtiesWhenSunk
Indicates the number of people killed or injured as a direct result of an entity (typically a vessel) being sunk.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:04 p.m.