Triple
T2825431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese battleship Nagato |
E54907
|
entity |
| Predicate | statusLateWar |
P19322
|
FINISHED |
| Object | largely inactive due to fuel shortages |
—
|
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: largely inactive due to fuel shortages | Statement: [Japanese battleship Nagato, statusLateWar, largely inactive due to fuel shortages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusLateWar Context triple: [Japanese battleship Nagato, statusLateWar, largely inactive due to fuel shortages]
-
A.
statusDuringWar
chosen
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
B.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
C.
statusBeforeWar
Indicates the condition or situation of an entity as it existed prior to the onset of a specified war.
-
D.
concludedWar
Indicates that a war or armed conflict between entities has come to an end, typically through victory, surrender, or formal agreement.
-
E.
timeSinceStartOfWar
Indicates the amount of time that has elapsed since the war began.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde925e688190bb390d3182f8c4f0 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.