Triple
T6872498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegheny College |
E158584
|
entity |
| Predicate | hasProgramRequirement |
P39303
|
FINISHED |
| Object | senior comprehensive project |
—
|
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: senior comprehensive project | Statement: [Allegheny College, hasProgramRequirement, senior comprehensive project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramRequirement Context triple: [Allegheny College, hasProgramRequirement, senior comprehensive project]
-
A.
hasEntryRequirement
Indicates that one entity specifies conditions or qualifications that must be met before another entity is allowed access, participation, or admission.
-
B.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
C.
evaluationRequirement
Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
-
D.
establishedRequirement
chosen
Indicates that one entity has formally set or defined a requirement that another entity is expected to satisfy or comply with.
-
E.
hasMajorProgram
Indicates that an educational institution offers a specific field of study as a primary academic program.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c73ea08190b6bb1463e7ead47b |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.