Triple
T33212239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99942 Apophis |
E850190
|
entity |
| Predicate | impactProbabilityFor2068 |
P183534
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [99942 Apophis, impactProbabilityFor2068, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactProbabilityFor2068 Context triple: [99942 Apophis, impactProbabilityFor2068, 0]
-
A.
impactProbabilityFor2036
Indicates the likelihood that a specified object or event will impact (e.g., collide with) a target in the year 2036.
-
B.
impactProbabilityFor2029
Indicates the likelihood that a specified event or object will have an impact in the year 2029.
-
C.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
D.
impactBuilding
Indicates that one entity physically collides with or strikes a building, causing an impact event.
-
E.
impactAge
Indicates that one entity has an effect on, alters, or influences the age or aging process of another entity.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 1, 2026, 1:30 a.m.