Triple
T14213441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridge to Terabithia |
E352287
|
entity |
| Predicate | intendedUseInEducation |
P27185
|
FINISHED |
| Object | middle-grade curriculum |
—
|
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: middle-grade curriculum | Statement: [Bridge to Terabithia, intendedUseInEducation, middle-grade curriculum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedUseInEducation Context triple: [Bridge to Terabithia, intendedUseInEducation, middle-grade curriculum]
-
A.
usedInEducationIn
Indicates that something is employed or applied within educational contexts in a particular place or institution.
-
B.
hasEducationalUse
chosen
Indicates that something is intended to be used for educational or instructional purposes.
-
C.
educationUse
Indicates the use or application of something specifically for educational purposes or in an educational context.
-
D.
usesInTeaching
Indicates that an agent employs a particular resource, method, or material as part of their teaching activities.
-
E.
hasEducationalDimension
Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.