Triple
T1402423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augusta Institute |
E31614
|
entity |
| Predicate | hasNotableSuccessorType |
P27596
|
FINISHED |
| Object | private liberal arts college |
—
|
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: private liberal arts college | Statement: [Augusta Institute, hasNotableSuccessorType, private liberal arts college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSuccessorType Context triple: [Augusta Institute, hasNotableSuccessorType, private liberal arts college]
-
A.
hasNotableDescendant
Indicates that an entity has at least one descendant who is recognized as notable or significant in some context.
-
B.
hasMoreAggressiveSuccessor
Indicates that one entity is followed or replaced by another entity that exhibits a higher level of aggressiveness in behavior, strategy, or effect.
-
C.
isSuccessorTo
Indicates that one entity directly follows another in an ordered sequence, coming immediately after it.
-
D.
hasSuccession
Indicates that one entity follows or replaces another in a sequence, order, or position, forming a succession relationship between them.
-
E.
hasNotableBridgeType
Indicates that an entity is associated with a specific, noteworthy type or design category of bridge.
- F. None of above. chosen
Provenance (4 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39ef554819096c17bca5891829b |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c11067b48190bca6ef3ac1475c20 |
completed | March 1, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:59 p.m.