Triple
T495115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRE |
E10274
|
entity |
| Predicate | typicalRequirementFor |
P100
|
FINISHED |
| Object | master’s degree programs |
—
|
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: master’s degree programs | Statement: [GRE, typicalRequirementFor, master’s degree programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRequirementFor Context triple: [GRE, typicalRequirementFor, master’s degree programs]
-
A.
typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
B.
requires
chosen
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
-
C.
requiredBy
Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
-
D.
hostRequirement
Indicates that one entity specifies or imposes necessary conditions or resources that another entity (the host) must provide or satisfy.
-
E.
requiresSkill
Indicates that performing or engaging in one entity (e.g., a task or role) depends on possessing or applying a specific skill represented by the other 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fdd5608190815fa36485df8962 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edf90ca88190b6a182e5b6733612 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.