Triple
T4743589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkadelphia, Arkansas |
E105304
|
entity |
| Predicate | higherEducationRole |
P2385
|
FINISHED |
| Object | regional college town |
—
|
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: regional college town | Statement: [Arkadelphia, Arkansas, higherEducationRole, regional college town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherEducationRole Context triple: [Arkadelphia, Arkansas, higherEducationRole, regional college town]
-
A.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
B.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
C.
educationPolicyRole
Indicates a role in creating, influencing, or implementing education-related policies or regulations.
-
D.
higherEducationHub
chosen
Indicates a relationship where a place or entity functions as a central location or focal point for higher education activities, institutions, or services.
-
E.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a85e9c81908e9c7bbbb998953e |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.