Triple
T22604861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumnezia |
E566527
|
entity |
| Predicate | regionCodeISO |
P208
|
FINISHED |
| Object | CH-GR |
—
|
NE NERFINISHED |
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-GR | Statement: [Lumnezia, regionCodeISO, CH-GR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CH-GR Context triple: [Lumnezia, regionCodeISO, CH-GR]
-
A.
CH-GR
chosen
CH-GR is the ISO 3166-2 code for the Swiss canton of Grisons, a large, mountainous region in eastern Switzerland known for its Alpine landscapes and multilingual culture.
-
B.
Grecia Canton
Grecia Canton is an administrative subdivision in Costa Rica known for its picturesque town of Grecia and surrounding coffee-growing highlands.
-
C.
GRK
GRK is the IATA airport code for Robert Gray Army Airfield, a joint-use military and commercial airport serving the Killeen–Fort Hood region in Texas, USA.
-
D.
Gréco
Gréco is a French surname most famously borne by iconic chanteuse and actress Juliette Gréco, a central figure of postwar Saint-Germain-des-Prés culture.
-
E.
CH-GE
CH-GE is the ISO 3166-2 code representing the Canton of Geneva in Switzerland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f162709d808190af83837104a190f9 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:53 p.m.