Triple
T8722638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ústí nad Labem Region |
E207048
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Most |
E397576
|
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: Most | Statement: [Ústí nad Labem Region, containsCity, Most]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Most Context triple: [Ústí nad Labem Region, containsCity, Most]
-
A.
Most
chosen
Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
-
B.
MOST
MOST is a science and technology museum in Syracuse, New York, featuring interactive exhibits and educational programs focused on STEM learning.
-
C.
Much
Much is a Canadian specialty television channel best known for its music-related programming and pop culture content, formerly branded as MuchMusic.
-
D.
Major
Major is a common English surname notably borne by former UK Prime Minister John Major and his wife, charity campaigner Norma Major.
-
E.
Major
Major is a mid-level commissioned officer rank in the Portuguese Air Force, typically positioned above captain and below lieutenant colonel.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0609f48190adc56226724b16c6 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf290001108190a90784b13a0a25b1 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.