Triple
T25068384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Suns |
E627843
|
entity |
| Predicate | fourthSunDestroyedBy |
P132959
|
FINISHED |
| Object | water |
—
|
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: water | Statement: [Five Suns, fourthSunDestroyedBy, water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthSunDestroyedBy Context triple: [Five Suns, fourthSunDestroyedBy, water]
-
A.
shrineDestroyedBy
Indicates that a shrine has been ruined, demolished, or otherwise destroyed as a result of the actions of a specified agent or cause.
-
B.
hasFourthSunName
Indicates that an entity has a specific name assigned to its fourth sun.
-
C.
planetDestroyed
Indicates that a planet has been completely destroyed, typically as the result of some event or action.
-
D.
destroyedInMythBy
chosen
Indicates that one entity is said, within a myth or mythological narrative, to have been destroyed by another entity.
-
E.
sufferedDestructionOf
Indicates that one entity experienced damage, ruin, or loss as a result of the destruction 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 18, 2026, 6:10 a.m.