Triple
T28003267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BREN-don |
E707201
|
entity |
| Predicate | hasStressType |
P50350
|
FINISHED |
| Object | primary stress only |
—
|
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: primary stress only | Statement: [BREN-don, hasStressType, primary stress only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStressType Context triple: [BREN-don, hasStressType, primary stress only]
-
A.
hasStress
Indicates that an entity is experiencing or exhibiting psychological or physiological stress.
-
B.
hasStressSystem
chosen
Indicates that an entity possesses a particular system or pattern for assigning stress (emphasis) within its structure, such as in words or phrases.
-
C.
representsStressOf
Indicates that one entity expresses, reflects, or denotes the stress experienced by another entity.
-
D.
stressType
Indicates the specific kind or category of stress associated with or affecting an entity.
-
E.
hasTypeOfTension
Indicates that one entity is associated with, or characterized by, a specific kind or category of tension.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 27, 2026, 7:58 p.m.