Triple
T1645173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avusy |
E35564
|
entity |
| Predicate | ISO3166-2 |
P189
|
FINISHED |
| Object | CH-GE |
E171318
|
NE 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: [Avusy, ISO3166-2, CH-GE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CH-GE Context triple: [Avusy, ISO3166-2, CH-GE]
-
A.
CH-GE
chosen
CH-GE is the ISO 3166-2 code representing the Canton of Geneva in Switzerland.
-
B.
GEKUT
GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
-
C.
CH-BS
CH-BS is the ISO 3166-2 code for the Swiss canton of Basel-Stadt, an urban canton centered on the city of Basel.
-
D.
GCH
GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
-
E.
Geg
Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a41e5a08190b97dd1c0b12c662a |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a26350819087e7a87b52561143 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.