Triple
T21885154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eridanus Supervoid |
E540385
|
entity |
| Predicate | possibleCauseOf |
P146054
|
FINISHED |
| Object | part of observed CMB Cold Spot temperature decrement |
—
|
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: part of observed CMB Cold Spot temperature decrement | Statement: [Eridanus Supervoid, possibleCauseOf, part of observed CMB Cold Spot temperature decrement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleCauseOf Context triple: [Eridanus Supervoid, possibleCauseOf, part of observed CMB Cold Spot temperature decrement]
-
A.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
eligibleCause
Indicates that one entity qualifies as a valid or acceptable cause or reason for another entity or outcome.
-
C.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
-
D.
causeOfIllness
Indicates that one entity is the reason or source responsible for another entity’s illness or disease.
-
E.
causeInStory
Indicates that one event, action, or state functions as the cause of another within the narrative structure of a story.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118eabb008190ab6f1364ef4e6feb |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 7:05 p.m.