Triple
T4859773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosa-class battleship |
E108627
|
entity |
| Predicate | navalArmsRaceContext |
P59440
|
FINISHED |
| Object | interwar battleship competition |
—
|
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: interwar battleship competition | Statement: [Tosa-class battleship, navalArmsRaceContext, interwar battleship competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalArmsRaceContext Context triple: [Tosa-class battleship, navalArmsRaceContext, interwar battleship competition]
-
A.
navalTreatyCategory
Indicates that something is classified under a specific category or type within the context of naval treaties.
-
B.
plannedArmament
Indicates that an entity has a specific weapon or set of weapons intended or scheduled to be equipped or deployed in the future.
-
C.
navalEra
Indicates the historical period or era in which a naval-related event, activity, or condition takes place.
-
D.
statusDuringColdWar
Indicates the political or diplomatic status or alignment that an entity held specifically during the Cold War period.
-
E.
earlyWar
Indicates that the war or conflict occurred in an early phase or at an earlier-than-typical point in a relevant timeline or sequence.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5c92148190a314707bdd3ff30f |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6cfa8bd881908e376ab286759cc2 |
completed | March 20, 2026, 3:51 p.m. |
Created at: March 20, 2026, 1:26 p.m.