Triple
T19072110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parable of the Sower |
E466816
|
entity |
| Predicate | rockyGroundRepresents |
P134192
|
FINISHED |
| Object | those who receive the word with joy but have no root |
—
|
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 who receive the word with joy but have no root | Statement: [Parable of the Sower, rockyGroundRepresents, those who receive the word with joy but have no root]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rockyGroundRepresents Context triple: [Parable of the Sower, rockyGroundRepresents, those who receive the word with joy but have no root]
-
A.
hasRockyTerrain
Indicates that the subject possesses or is characterized by rough, uneven, or rock-covered ground or surface conditions.
-
B.
rockGardenView
Indicates that an entity has a view overlooking or directly facing a rock garden.
-
C.
centralRockName
Indicates that an entity has a specific name assigned to its central rock or primary rock feature.
-
D.
commonRockUnit
Indicates that two or more geological features share the same rock unit or lithostratigraphic layer.
-
E.
cliffMaterial
Indicates that a cliff is composed of or primarily made from a specified material.
- 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.