Triple
T17681596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extended Essay |
E440782
|
entity |
| Predicate | studentChooses |
P96732
|
FINISHED |
| Object | research question |
—
|
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: research question | Statement: [Extended Essay, studentChooses, research question]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentChooses Context triple: [Extended Essay, studentChooses, research question]
-
A.
subjectChoice
chosen
Indicates that an entity makes, has, or is associated with a particular choice or selection among alternatives.
-
B.
studentComponent
Indicates that one entity functions as a student-related part, module, or subunit within a larger system, structure, or context.
-
C.
academicSelection
Indicates a relationship where an entity chooses or designates another entity for an academic purpose, role, or opportunity.
-
D.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
-
E.
selectionRitual
Indicates a process or ceremony through which one or more entities are chosen from a set of candidates.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e470445b3881908bb0930b986089f7 |
completed | April 19, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:01 a.m.