Triple
T16079584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Barham |
E390068
|
entity |
| Predicate | timeToCapsize |
P121809
|
FINISHED |
| Object | within minutes of being hit |
—
|
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: within minutes of being hit | Statement: [HMS Barham, timeToCapsize, within minutes of being hit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToCapsize Context triple: [HMS Barham, timeToCapsize, within minutes of being hit]
-
A.
fallsOverboard
Indicates that an entity unintentionally goes over the side of a vessel or elevated platform into the water or empty space below.
-
B.
lifeboatCapacity
Indicates the maximum number of people or load that a lifeboat is designed and certified to safely carry.
-
C.
Waterline
Indicates the level or line on an object or surface that marks where water reaches or has reached.
-
D.
sailingUnder
Indicates that one entity (typically a vessel) is operating or traveling while registered, flagged, or officially recognized under the authority or jurisdiction of another entity (such as a country or organization).
-
E.
captainAtTimeOfSinking
Indicates that the subject was serving as the ship’s captain at the specific time when the ship sank.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:57 a.m.