Triple
T10200976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindarin |
E238878
|
entity |
| Predicate | examplePhrase |
P82067
|
FINISHED |
| Object | Mae govannen |
—
|
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: Mae govannen | Statement: [Sindarin, examplePhrase, Mae govannen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examplePhrase Context triple: [Sindarin, examplePhrase, Mae govannen]
-
A.
usedPhrase
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
-
B.
mainPhrase
Indicates that the referenced phrase functions as the primary or central phrase within a larger linguistic or structural unit.
-
C.
exampleWord
chosen
Indicates that one entity serves as an illustrative or representative instance of another entity or concept.
-
D.
meaningOfPhrase
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
E.
isUsedInPhrase
Indicates that something (such as a word, expression, or symbol) appears as a component within a particular phrase.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8b7f348190a585daa70de4d4c8 |
completed | April 1, 2026, 8:14 p.m. |
Created at: March 30, 2026, 9:14 p.m.