Triple
T3820474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HiSET |
E84358
|
entity |
| Predicate | credentialIssuer |
P29
|
FINISHED |
| Object | state or jurisdictional education authority |
—
|
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: state or jurisdictional education authority | Statement: [HiSET, credentialIssuer, state or jurisdictional education authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: credentialIssuer Context triple: [HiSET, credentialIssuer, state or jurisdictional education authority]
-
A.
issuerType
Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
-
B.
issuedBy
chosen
Indicates that something (such as a document, order, or statement) has been formally created, authorized, or released by a particular agent or authority.
-
C.
credentialType
Indicates the specific kind or category of credential associated with an entity or relationship.
-
D.
issuingAuthorityText
Indicates the textual name or description of the authority responsible for issuing a document, credential, or official item.
-
E.
isIssuedTo
Indicates that something, such as a document, credential, or item, has been formally given or assigned to a specific recipient.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.