Triple
T13202289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Separation of Light from Darkness |
E314270
|
entity |
| Predicate | positionOnCeiling |
P109025
|
FINISHED |
| Object | one of the central panels |
—
|
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: one of the central panels | Statement: [Separation of Light from Darkness, positionOnCeiling, one of the central panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnCeiling Context triple: [Separation of Light from Darkness, positionOnCeiling, one of the central panels]
-
A.
ceilingBasedOn
Indicates that one entity’s maximum limit or upper bound is determined or constrained by another entity.
-
B.
ceiling
Indicates that one entity is the smallest value that is greater than or equal to another value, typically representing a rounding-up operation.
-
C.
ceilingHeight
Indicates the vertical distance from the floor to the ceiling in a given space.
-
D.
floorAbove
Indicates that one floor is located directly above another floor in a vertical arrangement.
-
E.
conePosition
Indicates the spatial position or placement of a cone relative to a reference frame or environment.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:16 p.m.