Triple
T3734062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Hub |
E79135
|
entity |
| Predicate | roleInSchool |
P4140
|
FINISHED |
| Object | central hub for Kellogg activities |
—
|
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: central hub for Kellogg activities | Statement: [Global Hub, roleInSchool, central hub for Kellogg activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSchool Context triple: [Global Hub, roleInSchool, central hub for Kellogg activities]
-
A.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
B.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
-
C.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
D.
hasEducationalRole
chosen
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
E.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb2457f08190a6b94e9895fced2c |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc04746588190b0dc535638f23546 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.