Triple
T33212325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elysium Planitia |
E850192
|
entity |
| Predicate | chosenForInSightBecause |
P3364
|
FINISHED |
| Object | relative flatness |
—
|
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: relative flatness | Statement: [Elysium Planitia, chosenForInSightBecause, relative flatness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chosenForInSightBecause Context triple: [Elysium Planitia, chosenForInSightBecause, relative flatness]
-
A.
symbolicallyChosenFor
Indicates that an entity has been selected to represent or stand in for something else in a symbolic or emblematic way.
-
B.
selectedAt
Indicates that an entity was chosen or picked at a specific point in time or under particular selection conditions.
-
C.
selectionReason
chosen
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
D.
decisiveFor
Indicates that one entity plays a determining or conclusive role in bringing about a particular outcome, decision, or state of another entity.
-
E.
consideredIn
Indicates that one entity is taken into account, examined, or included as a factor within the context, scope, or decision framework of another entity.
- F. None of above.
Provenance (3 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_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.