Triple
T19072112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parable of the Sower |
E466816
|
entity |
| Predicate | thornyGroundRepresents |
P134193
|
FINISHED |
| Object | those choked by cares of the world |
—
|
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: those choked by cares of the world | Statement: [Parable of the Sower, thornyGroundRepresents, those choked by cares of the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thornyGroundRepresents Context triple: [Parable of the Sower, thornyGroundRepresents, those choked by cares of the world]
-
A.
coversGrounds
Indicates that one entity extends over, occupies, or lies across the surface area of another entity (typically land or grounds).
-
B.
الغطاء النباتي
Indicates the presence, extent, or characteristics of plant cover in a given area.
-
C.
usesGroundFor
Indicates that one entity makes functional or practical use of a particular ground, surface, or land area for its activities or purposes.
-
D.
ground
Indicates that one entity is in contact with or supported by the ground or a ground-like surface.
-
E.
groundComponent
Indicates that one entity serves as a foundational or base part upon which another entity is built, attached, or functionally dependent.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19fa6948190bdf8e8ec022e12f2 |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.