Triple
T10327941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quenya |
E242806
|
entity |
| Predicate | primaryStressPattern |
P4253
|
FINISHED |
| Object | penultimate syllable (if heavy) |
—
|
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: penultimate syllable (if heavy) | Statement: [Quenya, primaryStressPattern, penultimate syllable (if heavy)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStressPattern Context triple: [Quenya, primaryStressPattern, penultimate syllable (if heavy)]
-
A.
primaryStressMarkingConvention
Indicates the convention or method used to mark the primary stress in a word or utterance.
-
B.
indicatesPrimaryStressOn
Indicates...that a particular syllable in a word carries the primary (main) stress in its pronunciation.
-
C.
hasStressPattern
chosen
Indicates that an entity (such as a word or phrase) follows a particular arrangement of stressed and unstressed units (e.g., syllables) in its pronunciation.
-
D.
firstSyllable
Indicates that one entity is the first syllable occurring at the beginning of another entity (typically a word or phrase).
-
E.
primaryPhonologicalSystem
Indicates that one phonological system is the main or dominant sound system associated with a given language, dialect, or linguistic 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cf21e08190bf605daeea0d9dcf |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:51 a.m.