Triple
T6760037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogakumonjo |
E154566
|
entity |
| Predicate | functionType |
P42790
|
FINISHED |
| Object | academic facility |
—
|
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: academic facility | Statement: [Ogakumonjo, functionType, academic facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionType Context triple: [Ogakumonjo, functionType, academic facility]
-
A.
typicalFunction
chosen
Indicates that something serves as the usual or characteristic function or role of an entity.
-
B.
functionInSystem
Indicates that an entity serves a specific role or performs a particular function within a given system.
-
C.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
D.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
-
E.
functionInName
Indicates that the name of one entity includes or references the function or role of another entity.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:12 p.m.