Triple
T28263326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beck Depression Inventory |
E712637
|
entity |
| Predicate | interpretationCategory |
P75713
|
FINISHED |
| Object | minimal depression |
—
|
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: minimal depression | Statement: [Beck Depression Inventory, interpretationCategory, minimal depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretationCategory Context triple: [Beck Depression Inventory, interpretationCategory, minimal depression]
-
A.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
B.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
C.
interpretationFacility
Indicates that an entity serves as a facility or venue where interpretation (such as language or translation services) is provided or supported.
-
D.
macroCategory
Indicates that one category functions as a broader, higher-level grouping that encompasses another more specific category.
-
E.
textCategory
chosen
Indicates that a piece of text belongs to or is classified under a particular category or type.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 11:12 p.m.