Triple
T26755631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eunice Kennedy Shriver Center |
E674661
|
entity |
| Predicate | focusesOnConditionCategory |
P31
|
FINISHED |
| Object | neurobehavioral disorders |
—
|
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: neurobehavioral disorders | Statement: [Eunice Kennedy Shriver Center, focusesOnConditionCategory, neurobehavioral disorders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnConditionCategory Context triple: [Eunice Kennedy Shriver Center, focusesOnConditionCategory, neurobehavioral disorders]
-
A.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
B.
focusesBy
Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of it.
-
C.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
D.
selectionCategory
Indicates the classification or grouping under which a particular selection or choice is categorized.
-
E.
activeCategory
Indicates that an entity currently belongs to or is associated with a category that is marked as active or in use.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 3:55 a.m.