Triple
T28250533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book VI of Plato's Republic |
E712298
|
entity |
| Predicate | dividedLineSegment |
P164216
|
FINISHED |
| Object | eikasia |
—
|
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: eikasia | Statement: [Book VI of Plato's Republic, dividedLineSegment, eikasia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dividedLineSegment Context triple: [Book VI of Plato's Republic, dividedLineSegment, eikasia]
-
A.
divisionLine
Indicates a boundary or separating line that divides one area, group, or portion from another.
-
B.
dividedBetween
Indicates that something is partitioned or shared among two or more distinct entities or groups.
-
C.
parallelDivision
Indicates that one entity is divided or partitioned in a way that runs parallel to the division or partitioning of another entity.
-
D.
dividesAreaApproximatelyEquallyBetween
Indicates that one entity partitions another entity’s area into parts that are roughly equal in size, though not necessarily exactly equal.
-
E.
segmentBy
Indicates dividing something into distinct parts or sections based on a specified criterion or boundary.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643eecbe481908f4c9be0fa878f36 |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:04 p.m.