Triple
T4036587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Chaux-de-Fonds |
E83841
|
entity |
| Predicate | populationRankInCanton |
P53590
|
FINISHED |
| Object | largest city in the canton of Neuchâtel |
—
|
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: largest city in the canton of Neuchâtel | Statement: [La Chaux-de-Fonds, populationRankInCanton, largest city in the canton of Neuchâtel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInCanton Context triple: [La Chaux-de-Fonds, populationRankInCanton, largest city in the canton of Neuchâtel]
-
A.
largestCantonByPopulation
Indicates that the subject is the canton with the highest population among a specified set or within a given region.
-
B.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
C.
rankInSwitzerlandByArea
Indicates the position of an entity in an ordered list of areas specifically within Switzerland, based on its size relative to others.
-
D.
capitalCityOfLargestCanton
Indicates the city that serves as the capital of the geographically largest canton within a given country or region.
-
E.
cantonCode
Indicates the specific administrative canton identifier associated with an entity or location.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb349e648190b9f227df4cd76fa0 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:36 p.m.