Triple
T14105390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expansion of the U.S. Navy |
E339491
|
entity |
| Predicate | typeOfModernization |
P51384
|
FINISHED |
| Object | fleet expansion |
—
|
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: fleet expansion | Statement: [Expansion of the U.S. Navy, typeOfModernization, fleet expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfModernization Context triple: [Expansion of the U.S. Navy, typeOfModernization, fleet expansion]
-
A.
modernizationType
chosen
Indicates the specific kind or category of modernization applied to an entity or system.
-
B.
modernization
Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
-
C.
isModernizationOf
Indicates that one entity is an updated, improved, or contemporary version of another earlier entity.
-
D.
modernizationPurpose
Indicates that an action or change is carried out with the aim of updating, improving, or bringing something in line with contemporary standards, practices, or technologies.
-
E.
modernizationFeatures
Indicates that something includes characteristics, elements, or improvements associated with making it more modern or up to date.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbd02888190bf07fd6d8769b61c |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.