Triple
T37212624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota State Highway 43 |
E922648
|
entity |
| Predicate | bridgeNameAtMississippiCrossing |
P26021
|
FINISHED |
| Object | Main Channel Bridge |
—
|
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: Main Channel Bridge | Statement: [Minnesota State Highway 43, bridgeNameAtMississippiCrossing, Main Channel Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bridgeNameAtMississippiCrossing Context triple: [Minnesota State Highway 43, bridgeNameAtMississippiCrossing, Main Channel Bridge]
-
A.
bridgeNickname
Indicates that one entity is an alternative or informal nickname used to refer to another entity, serving as a bridge between different name forms.
-
B.
bridgeName
chosen
Indicates the designated name assigned to a specific bridge.
-
C.
hasBridgeCrossings
Indicates that one entity has one or more bridge structures that span across or connect over another entity (such as a road, river, or area).
-
D.
wasMainRiverCrossingFor
Indicates that one river crossing (such as a bridge, ford, or ferry) served as the primary or most significant crossing point for a particular route, area, or settlement.
-
E.
riverCrossingStructure
Indicates a structure that allows passage across a river, such as by spanning or traversing it.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:15 p.m.