Triple
T25923023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Politician |
E653221
|
entity |
| Predicate | legalStatusOfSalvage |
P175195
|
FINISHED |
| Object | treated as theft by authorities |
—
|
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: treated as theft by authorities | Statement: [SS Politician, legalStatusOfSalvage, treated as theft by authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfSalvage Context triple: [SS Politician, legalStatusOfSalvage, treated as theft by authorities]
-
A.
wreckSalvaged
Indicates that a previously wrecked object or structure has been recovered or salvaged from its damaged or sunken state.
-
B.
wreckStatus
Indicates the condition or state of damage of an object, typically describing whether and how badly it has been wrecked.
-
C.
legalStatusAtTimeOfSinking
Indicates the legal status or condition that applied to an entity at the specific time it sank.
-
D.
salvageOutcome
Indicates the result or consequence of a salvage action, specifying what was recovered, preserved, or lost through the salvage process.
-
E.
wreckLocationStatus
Indicates the condition or status of a wreck at a specific location, such as whether it is present, removed, or otherwise changed.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 22, 2026, 8:35 a.m.