Triple
T12606085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Commonwealth navies |
E300981
|
entity |
| Predicate | usedCommandLanguage |
P6537
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [British Commonwealth navies, usedCommandLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedCommandLanguage Context triple: [British Commonwealth navies, usedCommandLanguage, English]
-
A.
languageOfCommand
chosen
Indicates that a specified language is the one in which a given command is expressed or issued.
-
B.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
-
C.
usedProceduralLanguage
Indicates that an entity carried out an action or implemented something by means of a procedural programming language.
-
D.
usesLanguageAs
Indicates that one entity communicates or operates using another entity as its language or linguistic medium.
-
E.
scriptUsedForLanguage
Indicates that a particular writing script is employed to write or represent a given language.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:10 p.m.