Triple
T2581206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital University |
E57094
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bexley, Ohio |
E312778
|
NE 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: Bexley, Ohio | Statement: [Capital University, locatedIn, Bexley, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bexley, Ohio Context triple: [Capital University, locatedIn, Bexley, Ohio]
-
A.
Bexley, Ohio
chosen
Bexley, Ohio is a small, affluent suburban city near downtown Columbus known for its historic homes, tree-lined streets, and institutions like Capital University.
-
B.
Bellevue, Ohio
Bellevue, Ohio is a small city in north-central Ohio known for its railroad heritage and location spanning multiple counties.
-
C.
Bryan, Ohio
Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
-
D.
Englewood, Ohio
Englewood, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
-
E.
Xenia, Ohio
Xenia, Ohio is a small city in southwestern Ohio known for its historic downtown, proximity to Dayton, and extensive network of bike trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c6da888190ba7abfe37d182602 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12df6ad908190b0b484b6fd82ffb5 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 9:49 p.m.