Triple
T7238537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basel metropolitan area |
E155293
|
entity |
| Predicate | economicRankInSwitzerland |
P75952
|
FINISHED |
| Object | one of the leading economic regions |
—
|
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: one of the leading economic regions | Statement: [Basel metropolitan area, economicRankInSwitzerland, one of the leading economic regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRankInSwitzerland Context triple: [Basel metropolitan area, economicRankInSwitzerland, one of the leading economic regions]
-
A.
hasPopulationRankInSwitzerland
Indicates the relative position of an entity in the ordered list of populations within Switzerland, such as its rank by population size compared to other Swiss entities.
-
B.
rankingByLengthInSwitzerland
Indicates that entities are ordered or evaluated based on their length within the context of Switzerland.
-
C.
populationRankInCanton
Indicates the relative position of an entity in terms of population size compared to other entities within the same canton.
-
D.
rankInSwitzerlandByArea
Indicates the position of an entity in an ordered list of areas specifically within Switzerland, based on its size relative to others.
-
E.
passengerTrafficRankInSwitzerland
Indicates the relative position of an entity in terms of passenger traffic volume compared to other entities within Switzerland.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6ea539f5c81908001524149903559 |
completed | March 27, 2026, 8:36 p.m. |
Created at: March 27, 2026, 2:55 p.m.