Triple
T2650146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shipwreck of the Princess Amelia |
E53877
|
entity |
| Predicate | victimCount |
P1785
|
FINISHED |
| Object | multiple passengers and crew (exact number uncertain) |
—
|
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: multiple passengers and crew (exact number uncertain) | Statement: [shipwreck of the Princess Amelia, victimCount, multiple passengers and crew (exact number uncertain)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimCount Context triple: [shipwreck of the Princess Amelia, victimCount, multiple passengers and crew (exact number uncertain)]
-
A.
mainVictims
Indicates that the related entities are the primary or principal targets harmed or affected by an action, event, or perpetrator.
-
B.
notableVictim
Indicates that the subject is a person or entity who is notably recognized as a victim of the object (such as an event, crime, or harmful action).
-
C.
deathToll
chosen
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
D.
notableVictims
Indicates that the object is a person or group who is especially well-known or significant as a victim of the subject.
-
E.
estimatedMurdersCommitted
Indicates an approximate count of murders that are believed or inferred to have been committed by an entity.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd92f5f508190b4ca396c3f399e93 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.