Triple
T400837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halden |
E9275
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Kemi |
E22392
|
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: Kemi | Statement: [Halden, hasTwinTown, Kemi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemi Context triple: [Halden, hasTwinTown, Kemi]
-
A.
Kemi
chosen
Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
-
B.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
C.
Sacandaga River
The Sacandaga River is a major river in upstate New York that drains the southern Adirondacks and flows into the Hudson River, historically important for logging, power generation, and recreation.
-
D.
Kareli
Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
-
E.
Venoge
Venoge is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8e655c819081eff85c0ef55fa5 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41772e19c8190b02a212f13b4d8aa |
completed | March 1, 2026, 10:39 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.