Triple
T16000908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ohio Oil Company |
E388087
|
entity |
| Predicate | basedInCity |
P6317
|
FINISHED |
| Object | Findlay |
E939765
|
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: Findlay | Statement: [The Ohio Oil Company, basedInCity, Findlay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Findlay Context triple: [The Ohio Oil Company, basedInCity, Findlay]
-
A.
Findlay
Findlay is a given name and surname of Scottish origin, often considered a variant of the name Finn or Finlay.
-
B.
Findlay, Ohio
chosen
Findlay, Ohio is a small city in northwestern Ohio known for its historic downtown, manufacturing base, and role as the seat of Hancock County.
-
C.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
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.
London, Ohio
London, Ohio is a small city in Madison County that serves as a local commercial and administrative center within the Columbus metropolitan area.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fba9748190ac8fc27b167d49f7 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f39008c819095ad8512eb119ee8 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 4:55 a.m.