Triple
T1558637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avully |
E33266
|
entity |
| Predicate | isoCodeRegion |
P27650
|
FINISHED |
| Object | CH-GE |
—
|
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: CH-GE | Statement: [Avully, isoCodeRegion, CH-GE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isoCodeRegion Context triple: [Avully, isoCodeRegion, CH-GE]
-
A.
ISOCode
Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
-
B.
ISO3166-1Code
Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
-
C.
hasISO3166-1NumericCode
Indicates that an entity is associated with a specific ISO 3166-1 numeric country code.
-
D.
sharesISO3166CodeWith
Indicates that two entities are associated with and use the same ISO 3166 country code.
-
E.
linkedToISO3166-2CodesOf
chosen
Indicates a relationship where an entity is associated with, or mapped to, specific ISO 3166-2 subdivision codes that represent its corresponding administrative regions.
- F. None of above.
Provenance (3 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.