Triple
T5562727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BL |
E145802
|
entity |
| Predicate | neighboringCantonsRepresentedBy |
P64500
|
FINISHED |
| Object | BS |
—
|
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: BS | Statement: [BL, neighboringCantonsRepresentedBy, BS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighboringCantonsRepresentedBy Context triple: [BL, neighboringCantonsRepresentedBy, BS]
-
A.
cantonRepresents
Indicates that a canton serves as the official representative or governing authority for a given entity (such as a region, population, or institution).
-
B.
governingCantonCapital
Indicates that a city serves as the capital and administrative seat of the specified canton.
-
C.
adjacentProvince
Indicates that two provinces share a common boundary and are directly next to each other geographically.
-
D.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
E.
neighboringPeoples
Indicates that two peoples or ethnic groups live in adjacent or nearby territories, sharing a common border or close geographic proximity.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201ba0e88190acd5bfaa5973f2d8 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:36 p.m.