Triple
T24978145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. rex and the Crater of Doom |
E625083
|
entity |
| Predicate | impactStructureDiscussed |
P158759
|
FINISHED |
| Object | Chicxulub impact structure |
—
|
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: Chicxulub impact structure | Statement: [T. rex and the Crater of Doom, impactStructureDiscussed, Chicxulub impact structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactStructureDiscussed Context triple: [T. rex and the Crater of Doom, impactStructureDiscussed, Chicxulub impact structure]
-
A.
impactStructureType
Indicates the type or nature of the structure that is affected or influenced by a given impact or action.
-
B.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
C.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
D.
impactBuilding
Indicates that one entity physically collides with or strikes a building, causing an impact event.
-
E.
impactOrigin
Indicates that one entity is the source or cause from which the impact or effect on another entity originates.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 6:02 a.m.