Triple
T6703173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Maine (ACR-1) |
E152931
|
entity |
| Predicate | wreckDisposition |
P47246
|
FINISHED |
| Object | hull towed to sea and scuttled |
—
|
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: hull towed to sea and scuttled | Statement: [USS Maine (ACR-1), wreckDisposition, hull towed to sea and scuttled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wreckDisposition Context triple: [USS Maine (ACR-1), wreckDisposition, hull towed to sea and scuttled]
-
A.
wreckStatus
Indicates the condition or state of damage of an object, typically describing whether and how badly it has been wrecked.
-
B.
wreckDiscovery
Indicates that an entity discovers, finds, or identifies a wreck (such as a ruined or destroyed object, vehicle, or structure).
-
C.
shipwreckEvent
Indicates an event in which a ship is destroyed, stranded, or severely damaged, typically resulting in loss or abandonment at sea or near a shoreline.
-
D.
wreckSalvaged
chosen
Indicates that a previously wrecked object or structure has been recovered or salvaged from its damaged or sunken state.
-
E.
shipwreckUse
Indicates that an entity makes use of, interacts with, or derives benefit from a shipwreck.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:06 p.m.