Triple
T24876182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS La Vallette |
E622574
|
entity |
| Predicate | navalVesselClass |
P3141
|
FINISHED |
| Object | Fletcher-class destroyer |
—
|
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: Fletcher-class destroyer | Statement: [USS La Vallette, navalVesselClass, Fletcher-class destroyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalVesselClass Context triple: [USS La Vallette, navalVesselClass, Fletcher-class destroyer]
-
A.
shipClass
chosen
Indicates the classification or type category to which a particular ship belongs.
-
B.
navalStandardType
Indicates the specific naval standard or classification system under which an entity (such as a vessel, equipment, or procedure) is defined or regulated.
-
C.
IMOCategory
Indicates the classification of an entity according to the International Mathematical Olympiad (IMO) category it belongs to.
-
D.
navalClassGeneration
Indicates that one naval class belongs to a particular generational sequence or iteration relative to another naval class.
-
E.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:24 a.m.