Triple
T18088917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trine University |
E432914
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Angola, Indiana |
—
|
NE NERFINISHED |
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: Angola, Indiana | Statement: [Trine University, locatedIn, Angola, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angola, Indiana Context triple: [Trine University, locatedIn, Angola, Indiana]
-
A.
Angola, Indiana
chosen
Angola, Indiana is a small city in northeastern Indiana known as a regional hub for education, commerce, and access to the area’s many lakes.
-
B.
Apalona, Indiana
Apalona, Indiana is an unincorporated rural community located in Perry County in the southern part of the state.
-
C.
Ceylon, Indiana
Ceylon, Indiana is a small unincorporated rural community located in Adams County in the northeastern part of the state.
-
D.
Zulu, Indiana
Zulu, Indiana is a small unincorporated rural community located in Adams County in the northeastern part of the state.
-
E.
Loogootee, Indiana
Loogootee, Indiana is a small city in southwestern Indiana known for its tight-knit community and strong high school basketball tradition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16e2148190a63cc981898e8ade |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.