Triple
T34125138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 30 in Indiana |
E875254
|
entity |
| Predicate | nearbyInterstateConnection |
P125461
|
FINISHED |
| Object | Interstate 65 at Merrillville |
—
|
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: Interstate 65 at Merrillville | Statement: [U.S. Route 30 in Indiana, nearbyInterstateConnection, Interstate 65 at Merrillville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyInterstateConnection Context triple: [U.S. Route 30 in Indiana, nearbyInterstateConnection, Interstate 65 at Merrillville]
-
A.
nearestInterstateHighway
Indicates that one interstate highway is the closest in distance to a given location or route compared to all other interstate highways.
-
B.
nearestInterstateExit
Indicates the relationship where a given location is associated with the closest interstate highway exit to it.
-
C.
nearInterstate
Indicates that one entity is located close to or in the immediate vicinity of an interstate highway.
-
D.
motorwayJunctionNearby
Indicates that a motorway junction is located close to the referenced entity.
-
E.
connectsToInterstate
chosen
Indicates that one roadway, route, or location has a direct connection or access point to an interstate highway.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: May 1, 2026, 1:53 a.m.