Triple
T32273602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganga |
E824481
|
entity |
| Predicate | controlledDescentBy |
P127240
|
FINISHED |
| Object | Shiva |
—
|
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: Shiva | Statement: [Ganga, controlledDescentBy, Shiva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlledDescentBy Context triple: [Ganga, controlledDescentBy, Shiva]
-
A.
descentMethod
chosen
Indicates the technique or process used to descend from a higher position, level, or altitude.
-
B.
descentTarget
Indicates that an entity is the intended destination or endpoint toward which another entity is descending.
-
C.
descentVia
Indicates a lineage relationship where one entity is descended from another through one or more intermediate generations or branches.
-
D.
descentType
Indicates the specific manner or category of downward movement or lineage relationship between entities.
-
E.
descentPath
Indicates a hierarchical or genealogical relationship where one entity is a descendant of another, possibly through one or more intermediate generations.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 1, 2026, 12:42 a.m.