Triple
T30172010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinzua Bridge State Park |
E766944
|
entity |
| Predicate | mainStructurePartiallyDestroyedBy |
P176018
|
FINISHED |
| Object | tornado |
—
|
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: tornado | Statement: [Kinzua Bridge State Park, mainStructurePartiallyDestroyedBy, tornado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainStructurePartiallyDestroyedBy Context triple: [Kinzua Bridge State Park, mainStructurePartiallyDestroyedBy, tornado]
-
A.
partiallyDestroyed
Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
-
B.
replacedStructureDamagedBy
Indicates that a structure which has been replaced is (or was) damaged by a specified agent, event, or condition.
-
C.
partiallyDestroyedByFire
Indicates that an entity has been damaged to some extent, but not completely destroyed, as a result of a fire.
-
D.
originalConstructionDestroyed
Indicates that the initially built or first version of an object, structure, or work has been destroyed or no longer exists in its original form.
-
E.
replacedStructureDemolished
Indicates that a structure which has been replaced by another has subsequently been demolished.
- F. None of above. chosen
Provenance (4 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 29, 2026, 7:24 p.m.