Triple
T11703758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veľký Meder |
E278188
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object |
Čalovo
Čalovo is the former name of the Slovak town now known as Veľký Meder, located in the southwestern part of the country near the Hungarian border.
|
E941836
|
NE FINISHED |
How this triple was built (4 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: Čalovo | Statement: [Veľký Meder, hasFormerName, Čalovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Čalovo Context triple: [Veľký Meder, hasFormerName, Čalovo]
-
A.
Čapljina
Čapljina is a town in southern Bosnia and Herzegovina known for its location in the Neretva River valley near the Croatian border.
-
B.
Lozova
Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
-
C.
Lechovo
Lechovo is a village in northern Greece located within the Florina regional unit, known for its traditional Macedonian architecture and mountainous surroundings.
-
D.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
E.
Beloslav
Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Čalovo Triple: [Veľký Meder, hasFormerName, Čalovo]
Generated description
Čalovo is the former name of the Slovak town now known as Veľký Meder, located in the southwestern part of the country near the Hungarian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Čalovo Target entity description: Čalovo is the former name of the Slovak town now known as Veľký Meder, located in the southwestern part of the country near the Hungarian border.
-
A.
Čapljina
Čapljina is a town in southern Bosnia and Herzegovina known for its location in the Neretva River valley near the Croatian border.
-
B.
Lozova
Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
-
C.
Lechovo
Lechovo is a village in northern Greece located within the Florina regional unit, known for its traditional Macedonian architecture and mountainous surroundings.
-
D.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
E.
Beloslav
Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
- F. None of above. chosen
Provenance (5 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83525ae081909ee6f3fbb5d37dd7 |
completed | April 27, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69ef9b673120819097b542bb9a8f8bdb |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd683366881909dd9621e7c57d0be |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:40 p.m.