Triple
T386016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Europe |
E8780
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Bratislava |
E17491
|
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: Bratislava | Statement: [Central Europe, hasMajorCity, Bratislava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bratislava Context triple: [Central Europe, hasMajorCity, Bratislava]
-
A.
Bratislava
chosen
Bratislava is the capital and largest city of Slovakia, situated along the Danube River near the borders with Austria and Hungary.
-
B.
Košice
Košice is a major city in eastern Slovakia known for its historic Old Town, Gothic St. Elisabeth Cathedral, and role as an important cultural and economic center.
-
C.
Brno
Brno is the second-largest city in the Czech Republic, known as a major cultural, educational, and industrial center in the historical region of Moravia.
-
D.
Prague
Prague is the historic capital city of the Czech Republic, renowned for its well-preserved medieval architecture, iconic Charles Bridge and Prague Castle, and vibrant cultural life.
-
E.
Budapest
Budapest is the capital and largest city of Hungary, renowned for its historic architecture, thermal baths, and prominent location along the Danube River.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec447b5481908a5a084787b44ced |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a431dbb77081908f87740c9b827f90 |
completed | March 1, 2026, 12:32 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.