Triple
T30714198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton–Cincinnati metropolitan region |
E781975
|
entity |
| Predicate | hasCommuterFlowBetween |
P23412
|
FINISHED |
| Object | Cincinnati |
—
|
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: Cincinnati | Statement: [Dayton–Cincinnati metropolitan region, hasCommuterFlowBetween, Cincinnati]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommuterFlowBetween Context triple: [Dayton–Cincinnati metropolitan region, hasCommuterFlowBetween, Cincinnati]
-
A.
commutesBetween
chosen
Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
-
B.
hasCommuterLinks
Indicates that there are established transportation connections enabling regular travel between two locations.
-
C.
operatesCommuterServiceBetween
Indicates that an entity runs a commuter transportation service connecting two specified locations.
-
D.
isTransportationLinkBetween
Indicates that there exists a transportation connection (such as a road, rail, air, or sea route) linking the two entities.
-
E.
isTransportHubBetween
Indicates that a location functions as a central node facilitating transportation connections between two or more other places.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0186cde2fc819080d7c06503dcc479 |
completed | May 11, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_6a0183ff6d34819080c8ad7c11611a36 |
completed | May 11, 2026, 7:23 a.m. |
Created at: April 29, 2026, 8:35 p.m.