Triple
T16268518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC Kometa Brno |
E394935
|
entity |
| Predicate | cityIs |
P122449
|
FINISHED |
| Object | second-largest city in the Czech Republic |
—
|
LITERAL 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: second-largest city in the Czech Republic | Statement: [HC Kometa Brno, cityIs, second-largest city in the Czech Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityIs Context triple: [HC Kometa Brno, cityIs, second-largest city in the Czech Republic]
-
A.
cityName
Indicates that the associated value is the name of a city.
-
B.
city1
Indicates that the subject is classified as a city.
-
C.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
D.
isCity
Indicates that the subject entity is classified as a city.
-
E.
motherCityOf
Indicates that one city is considered the primary, originating, or foundational city in relation to another city, often as its source, protector, or central authority.
- F. None of above. chosen
Provenance (4 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245ca5c708190a1e98ab37740c032 |
completed | April 17, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.