Triple
T38388529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibéria |
E899644
|
entity |
| Predicate | numberOfSubsections |
P1632
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Ibéria, numberOfSubsections, 3]
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 (3 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.