Triple
T6314240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appalachian State University |
E141574
|
entity |
| Predicate | systemChancellor |
P30781
|
FINISHED |
| Object | chancellor of Appalachian State University |
—
|
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: chancellor of Appalachian State University | Statement: [Appalachian State University, systemChancellor, chancellor of Appalachian State University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemChancellor Context triple: [Appalachian State University, systemChancellor, chancellor of Appalachian State University]
-
A.
chancellorPower
Indicates that an entity holds the authoritative executive or administrative powers associated with the role of chancellor over another entity or domain.
-
B.
hasChancellor
Indicates that an entity holds the position or role of chancellor for another entity.
-
C.
headOfSystem
chosen
Indicates that one entity serves as the primary leader or top authority in charge of a particular system.
-
D.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
-
E.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a075dc8190acf7ec010cb4b00c |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.