Triple
T21520331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Boston, Michigan |
E530957
|
entity |
| Predicate | hasNearbyHighwayExit |
P99467
|
FINISHED |
| Object | I-275 exits for Huron Township |
—
|
LITERAL 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: I-275 exits for Huron Township | Statement: [New Boston, Michigan, hasNearbyHighwayExit, I-275 exits for Huron Township]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyHighwayExit Context triple: [New Boston, Michigan, hasNearbyHighwayExit, I-275 exits for Huron Township]
-
A.
hasNearbyExit
chosen
Indicates that one entity has an exit located close to it in space or distance.
-
B.
nearbyHighwayMilepost
Indicates that one entity is located close to a specific highway milepost associated with another entity.
-
C.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
D.
motorwayJunctionNearby
Indicates that a motorway junction is located close to the referenced entity.
-
E.
isLocatedOnHighway
Indicates that one entity is situated along, adjacent to, or directly accessible from a specific 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884bfa548190a39e5992ed6bb8a8 |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:26 p.m.