Triple
T9116043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westron |
E218720
|
entity |
| Predicate | translationConvention |
P82717
|
FINISHED |
| Object | represented as modern English in Tolkien’s published texts |
—
|
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: represented as modern English in Tolkien’s published texts | Statement: [Westron, translationConvention, represented as modern English in Tolkien’s published texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationConvention Context triple: [Westron, translationConvention, represented as modern English in Tolkien’s published texts]
-
A.
translationMethod
Indicates the technique or process used to translate content from one language or form to another.
-
B.
translationProperty
chosen
Indicates a relationship where one entity serves as a translated counterpart or translation-specific attribute of another entity.
-
C.
logicConvention
Indicates a relationship where entities participate in or are associated with a convention, event, or standard related to logic or logical systems.
-
D.
translationHint
Indicates that one entity provides guidance or suggestions on how another entity should be translated into a different language.
-
E.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a4c9e08190ba3603a5d00afb20 |
completed | April 1, 2026, 5:09 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.