Triple
T11501636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krug |
E272676
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Veche |
E346685
|
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: Veche | Statement: [Krug, relatedTo, Veche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veche Context triple: [Krug, relatedTo, Veche]
-
A.
Vama Veche
Vama Veche is a Romanian seaside village on the Black Sea known for its bohemian atmosphere, alternative music scene, and free-spirited beach culture.
-
B.
veche
chosen
Veche was a medieval Slavic popular assembly that functioned as a key decision-making and self-governing institution in cities like Novgorod.
-
C.
Vyazniki
Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
-
D.
Chamusca
Chamusca is a small municipality in central Portugal known for its agricultural landscape and location along the Tagus River.
-
E.
Zhagory
Zhagory is a town in present-day Lithuania historically known as the birthplace of the influential 19th-century Jewish ethicist and founder of the Musar movement, Rabbi Yisrael Salanter.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de55cbc8190be71c2d03dc044f2 |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604bc1d3c81908497f1d19dcc2167 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:36 p.m.