Triple
T1640328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Seventh Fleet |
E35453
|
entity |
| Predicate | typicalShipStrength |
P29741
|
FINISHED |
| Object | 50 to 70 ships (approximate) |
—
|
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: 50 to 70 ships (approximate) | Statement: [United States Seventh Fleet, typicalShipStrength, 50 to 70 ships (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalShipStrength Context triple: [United States Seventh Fleet, typicalShipStrength, 50 to 70 ships (approximate)]
-
A.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
B.
standardDisplacement
Indicates the typical or officially specified amount of displacement (such as volume, weight, or capacity) associated with an entity under standard conditions.
-
C.
assistedShip
Indicates that one entity helped or supported a ship in performing an operation, task, or journey.
-
D.
navalStandardType
Indicates the specific naval standard or classification system under which an entity (such as a vessel, equipment, or procedure) is defined or regulated.
-
E.
originalShipType
Indicates the type or category of ship that an entity was originally classified or built as.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9192f975c8190bfd514a4b5a8786c |
completed | March 5, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:28 p.m.