Triple
T20846328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajka District |
E513234
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Bakonypölöske
Bakonypölöske is a small village in Veszprém County in western Hungary.
|
E1453423
|
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: Bakonypölöske | Statement: [Ajka District, containsSettlement, Bakonypölöske]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakonypölöske Context triple: [Ajka District, containsSettlement, Bakonypölöske]
-
A.
Bacone
Bacone is a small private liberal arts college in Muskogee, Oklahoma, historically affiliated with Native American education and tribal nations.
-
B.
Salo
Salo is a picturesque town on the western shore of Lake Garda in northern Italy, known for its lakeside promenade and historic center.
-
C.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
D.
Tönisvorst
Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
-
E.
Shnitzel
Shnitzel is a gruff, rock-skinned chef and dishwasher in the animated series "Chowder," known for his limited vocabulary and deadpan demeanor.
- 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: Bakonypölöske Triple: [Ajka District, containsSettlement, Bakonypölöske]
Generated description
Bakonypölöske is a small village in Veszprém County in western Hungary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bakonypölöske Target entity description: Bakonypölöske is a small village in Veszprém County in western Hungary.
-
A.
Bacone
Bacone is a small private liberal arts college in Muskogee, Oklahoma, historically affiliated with Native American education and tribal nations.
-
B.
Salo
Salo is a picturesque town on the western shore of Lake Garda in northern Italy, known for its lakeside promenade and historic center.
-
C.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
D.
Tönisvorst
Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
-
E.
Shnitzel
Shnitzel is a gruff, rock-skinned chef and dishwasher in the animated series "Chowder," known for his limited vocabulary and deadpan demeanor.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34ffb588190881953a0480b29a8 |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b03b5588190a98681307f32946f |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090b872f58819087803faf1293f1b7 |
completed | May 17, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090c57aef48190978b5fe94dd4feab |
completed | May 17, 2026, 12:31 a.m. |
Created at: April 16, 2026, 12:43 p.m.