Triple
T38295177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | institute of technology and advanced learning |
E1022467
|
entity |
| Predicate | typicalCredentials |
P6396
|
FINISHED |
| Object | diplomas |
—
|
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: diplomas | Statement: [institute of technology and advanced learning, typicalCredentials, diplomas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCredentials Context triple: [institute of technology and advanced learning, typicalCredentials, diplomas]
-
A.
typicalIdentity
Indicates that one entity is the standard, characteristic, or most representative identity of another entity within a given context.
-
B.
usesCredentialsOf
Indicates that one entity authenticates or operates by employing the credentials (such as login details, tokens, or keys) that belong to another entity.
-
C.
credentialType
chosen
Indicates the specific kind or category of credential associated with an entity or relationship.
-
D.
similarCredentialAs
Indicates that one credential is considered equivalent or closely matching another in terms of content, level, or recognition.
-
E.
typicalKey
Indicates that the referenced key is the standard or most commonly used key associated with an entity or context.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.