Triple
T38388529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibéria |
E899644
|
entity |
| Predicate | numberOfSubsections |
—
|
GENERATED |
| Object | 3 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSubsections Context triple: [Ibéria, numberOfSubsections, 3]
-
A.
hasSectionCount
chosen
Indicates that an entity is associated with a specific number of sections it contains or comprises.
-
B.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
-
C.
sectionCountApproximate
Indicates that the number of sections associated with an entity is known only approximately rather than as an exact count.
-
D.
containsSubchapter
Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
-
E.
subdividedBy
Indicates that something is divided into smaller parts or sections by another entity or criterion.
- F. None of above.
Provenance (1 batch)
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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.