Triple
T35439070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enga language |
E1024290
|
entity |
| Predicate | hasStressAccent |
P4253
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Enga language, hasStressAccent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStressAccent Context triple: [Enga language, hasStressAccent, true]
-
A.
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.
-
B.
hasAccent
Indicates that an entity speaks with or possesses a particular accent or distinctive pronunciation style.
-
C.
hasStress
Indicates that an entity is experiencing or exhibiting psychological or physiological stress.
-
D.
hasSpellingWithAccent
Indicates that one form of a word or name is spelled using accented characters compared to another form.
-
E.
hasAccentPosition
Indicates the position within a word or phrase where the primary accent or stress is placed.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fff09dae088190bd8460060d778feb |
completed | May 10, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69fff0027c5c8190baa5c7a15852cbe0 |
completed | May 10, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:04 p.m.