Triple
T28263355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beck Anxiety Inventory |
E712638
|
entity |
| Predicate | hasItemCount |
P48434
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Beck Anxiety Inventory, hasItemCount, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasItemCount Context triple: [Beck Anxiety Inventory, hasItemCount, 21]
-
A.
hasNumberOfObjects
chosen
Indicates that an entity is associated with a specific count or quantity of objects.
-
B.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
-
C.
hasCollectionItemBy
Indicates that an entity possesses or includes a specific item as part of its collection, identified or referenced by some key or identifier.
-
D.
hasComponentCount
Indicates that an entity is associated with a specific number of components it contains or comprises.
-
E.
estimatedNumberOfItems
Indicates the approximate count or quantity of items associated with the subject, typically when the exact number is unknown or uncertain.
- 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_69f6441b33e0819081dc4b8b5a12644f |
completed | May 2, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:12 p.m.