Triple
T3527086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Calabria |
E74564
|
entity |
| Predicate | navalForceSize |
P21383
|
FINISHED |
| Object | large surface fleets on both sides |
—
|
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: large surface fleets on both sides | Statement: [Battle of Calabria, navalForceSize, large surface fleets on both sides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalForceSize Context triple: [Battle of Calabria, navalForceSize, large surface fleets on both sides]
-
A.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
-
B.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
-
C.
fleetSize
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
D.
navalForceInvolved
Indicates that a naval military force participates in, contributes to, or is otherwise involved in a specified event or operation.
-
E.
navalPowerStatus
chosen
Indicates the relative strength, capability, or strategic standing of an entity’s naval forces compared to others or to defined benchmarks.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6bb0748190bfccfe25d2ab41b7 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.