Triple
T17846646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kfar Saba |
E445678
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Yessentuki |
—
|
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: Yessentuki | Statement: [Kfar Saba, hasSisterCity, Yessentuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yessentuki Context triple: [Kfar Saba, hasSisterCity, Yessentuki]
-
A.
Yessentuki
chosen
Yessentuki is a Russian spa city in the North Caucasus renowned for its mineral springs and health resorts.
-
B.
Yelets
Yelets is a historic city in western Russia known for its medieval origins, traditional lace-making, and role as a regional cultural and economic center.
-
C.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
D.
Ессентуки
Ессентуки — город-курорт на Северном Кавказе в Ставропольском крае России, известный своими минеральными водами и санаторно-лечебными учреждениями.
-
E.
Shadrinsk
Shadrinsk is a town in Kurgan Oblast, Russia, known as an industrial and cultural center in the southern Ural region.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffb35248190a80a428686e06d87 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.