Triple
T25796621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridal Veil Falls (Utah) |
E649702
|
entity |
| Predicate | tramwayDestroyedBy |
P159279
|
FINISHED |
| Object | avalanche |
—
|
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: avalanche | Statement: [Bridal Veil Falls (Utah), tramwayDestroyedBy, avalanche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tramwayDestroyedBy Context triple: [Bridal Veil Falls (Utah), tramwayDestroyedBy, avalanche]
-
A.
sufferedDestructionIn
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
-
B.
demolishedAsResultOf
Indicates that one entity was demolished as a direct consequence or outcome of another event, action, or condition.
-
C.
destroyedCity
Indicates that an entity has caused the complete or near-complete destruction of a city.
-
D.
mainCityDestroyed
Indicates that the primary or central city associated with an entity has been destroyed.
-
E.
cityBombed
Indicates that a particular city was subjected to a bombing attack.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffc8635881909f3e05e3903f8d8c |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 6:31 a.m.