Triple
T1390162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 35W (Minnesota) |
E29935
|
entity |
| Predicate | bridgeCollapseLocation |
P26084
|
FINISHED |
| Object | over the Mississippi River in Minneapolis |
—
|
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: over the Mississippi River in Minneapolis | Statement: [Interstate 35W (Minnesota), bridgeCollapseLocation, over the Mississippi River in Minneapolis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bridgeCollapseLocation Context triple: [Interstate 35W (Minnesota), bridgeCollapseLocation, over the Mississippi River in Minneapolis]
-
A.
bridgeLocation
Indicates the specific place or area where a bridge is situated or spans.
-
B.
siteOfAccident
chosen
Indicates the location where an accident occurred.
-
C.
bridgeType
Indicates the specific kind or classification of a bridge associated with an entity.
-
D.
bombingLocation
Indicates the place where a bombing event occurs or is carried out.
-
E.
skybridgeHeight
Indicates the vertical distance or clearance between a skybridge and a reference surface (such as the ground or roadway) or between connected structures.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35e023c8190b45688796d90534b |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.