Triple
T9077928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federation of Bosnia and Herzegovina |
E217534
|
entity |
| Predicate | numberOfCantons |
P87078
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Federation of Bosnia and Herzegovina, numberOfCantons, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCantons Context triple: [Federation of Bosnia and Herzegovina, numberOfCantons, 10]
-
A.
governingCantonCapital
Indicates that a city serves as the capital and administrative seat of the specified canton.
-
B.
populationRankInCanton
Indicates the relative position of an entity in terms of population size compared to other entities within the same canton.
-
C.
officialNameOfCanton
Indicates that one entity is the official, legally recognized name assigned to a particular canton.
-
D.
neighboringCantonsRepresentedBy
Indicates that the neighboring cantons of a given canton are represented by the specified entity or representative.
-
E.
largestCantonByPopulation
Indicates that the subject is the canton with the highest population among a specified set or within a given region.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:12 p.m.