Triple
T459133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABET |
E7297
|
entity |
| Predicate | relevanceFor |
P1887
|
FINISHED |
| Object | eligibility for professional engineering licensure in many jurisdictions |
—
|
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: eligibility for professional engineering licensure in many jurisdictions | Statement: [ABET, relevanceFor, eligibility for professional engineering licensure in many jurisdictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relevanceFor Context triple: [ABET, relevanceFor, eligibility for professional engineering licensure in many jurisdictions]
-
A.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
B.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
usesRank
Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
-
D.
usesRankStructureSimilarTo
Indicates that one entity organizes or orders its elements according to a ranking system that is similar to the ranking system used by another entity.
-
E.
providedFor
Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa4a6208190a8243a0e14f84f52 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.