Triple
T28263377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beck Anxiety Inventory |
E712638
|
entity |
| Predicate | hasCutoffScore |
P182226
|
FINISHED |
| Object | minimal anxiety category |
—
|
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 anxiety category | Statement: [Beck Anxiety Inventory, hasCutoffScore, minimal anxiety category]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCutoffScore Context triple: [Beck Anxiety Inventory, hasCutoffScore, minimal anxiety category]
-
A.
hasScoreAvailable
Indicates that a score or rating for the relevant entity is present and can be accessed.
-
B.
requiresMinimumScore
Indicates that one entity can only be obtained, accessed, or considered valid if another entity’s score meets or exceeds a specified minimum threshold.
-
C.
hasCutoffTime
Indicates that there is a specific time limit or deadline by which an action, event, or process must be completed or initiated.
-
D.
hasScoreCue
Indicates that one entity provides or is associated with a cue or signal used to determine, influence, or interpret the score of another entity.
-
E.
hasMaximumGrade
Indicates that an entity possesses the highest possible grade or score within a defined grading or evaluation system.
- F. None of above. chosen
Provenance (4 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_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 27, 2026, 11:12 p.m.