Triple
T13201329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 3166-2:ES |
E314248
|
entity |
| Predicate | secondPartRepresents |
P109015
|
FINISHED |
| Object | subdivision identifier |
—
|
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: subdivision identifier | Statement: [ISO 3166-2:ES, secondPartRepresents, subdivision identifier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPartRepresents Context triple: [ISO 3166-2:ES, secondPartRepresents, subdivision identifier]
-
A.
firstPartRepresents
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
B.
secondLetterRepresents
Indicates that the second letter of one entity stands for, symbolizes, or denotes another entity or concept.
-
C.
secondLevelRepresents
Indicates that one entity serves as a secondary or subordinate representation of another, typically refining or detailing the primary representation.
-
D.
secondPartFormat
Indicates that the entity represents the format or structure of the second part or segment of a larger item or sequence.
-
E.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
- 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.