Triple
T37919120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walkerville Elementary School |
E945905
|
entity |
| Predicate | focusSubject |
P86548
|
FINISHED |
| Object | science education |
—
|
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: science education | Statement: [Walkerville Elementary School, focusSubject, science education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusSubject Context triple: [Walkerville Elementary School, focusSubject, science education]
-
A.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
-
B.
focusSince
Indicates that one entity has maintained focused attention on another entity or activity continuously since a specified point in time.
-
C.
focusMode
Indicates that an entity is currently in a concentrated or distraction-minimized state directed toward a specific task, target, or context.
-
D.
focusIssue
Indicates that an issue, topic, or problem is the primary subject of attention or concern in a given context.
-
E.
focusOf
chosen
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 3, 2026, 4:20 p.m.