Triple
T18384540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athena Cinema |
E446546
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Athens, Ohio |
—
|
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: Athens, Ohio | Statement: [Athena Cinema, locatedIn, Athens, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athens, Ohio Context triple: [Athena Cinema, locatedIn, Athens, Ohio]
-
A.
Athens, Ohio
chosen
Athens, Ohio is a small Appalachian college town in southeastern Ohio best known as the home of Ohio University and for its historic, hilly setting along the Hocking River.
-
B.
Alexandria, Ohio
Alexandria, Ohio is a small village in central Ohio known for its rural character and location within Licking County near the Columbus metropolitan area.
-
C.
Oxford, Ohio
Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
-
D.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
E.
Salem, Ohio
Salem, Ohio is a small city in northeastern Ohio known historically for its role in the abolitionist movement and its manufacturing-based economy.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179da1048190944398e229e7a4c1 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.