Triple
T6324046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | République et Canton du Jura |
E141816
|
entity |
| Predicate | establishedAsCanton |
P70048
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [République et Canton du Jura, establishedAsCanton, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsCanton Context triple: [République et Canton du Jura, establishedAsCanton, 1979]
-
A.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
B.
establishedAsCantonmentBy
Indicates that an entity was designated or set up as a cantonment by a specified agent or authority.
-
C.
governingCantonCapital
Indicates that a city serves as the capital and administrative seat of the specified canton.
-
D.
sourceCanton
Indicates the canton from which something or someone originates or is sourced.
-
E.
officialNameOfCanton
Indicates that one entity is the official, legally recognized name assigned to a particular canton.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e538ac81908c5d7556513c2bc3 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:29 p.m.