Triple
T8575896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Péter Erdő |
E203046
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Erdő
Erdő is a Hungarian surname most notably borne by Péter Erdő, a prominent Hungarian cardinal and former Primate of Hungary.
|
E742323
|
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: Erdő | Statement: [Péter Erdő, familyName, Erdő]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erdő Context triple: [Péter Erdő, familyName, Erdő]
-
A.
Budakeszi Forest
Budakeszi Forest is a large, popular woodland and recreational area on the western edge of Budapest, known for its hiking trails, wildlife, and natural scenery.
-
B.
Lővérek Hills
Lővérek Hills is a forested hilly area near Sopron in western Hungary, known for its hiking trails, lookout towers, and recreational opportunities.
-
C.
Bakony Mountains
The Bakony Mountains are a forested mountain range in western Hungary, forming part of the Transdanubian Mountains and known for their karst landscapes, hiking trails, and natural beauty.
-
D.
Veszprém Plateau
The Veszprém Plateau is a hilly limestone region in western Hungary known for its elevated terrain and the historic city of Veszprém situated upon it.
-
E.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
- 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: Erdő Triple: [Péter Erdő, familyName, Erdő]
Generated description
Erdő is a Hungarian surname most notably borne by Péter Erdő, a prominent Hungarian cardinal and former Primate of Hungary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erdő Target entity description: Erdő is a Hungarian surname most notably borne by Péter Erdő, a prominent Hungarian cardinal and former Primate of Hungary.
-
A.
Budakeszi Forest
Budakeszi Forest is a large, popular woodland and recreational area on the western edge of Budapest, known for its hiking trails, wildlife, and natural scenery.
-
B.
Lővérek Hills
Lővérek Hills is a forested hilly area near Sopron in western Hungary, known for its hiking trails, lookout towers, and recreational opportunities.
-
C.
Bakony Mountains
The Bakony Mountains are a forested mountain range in western Hungary, forming part of the Transdanubian Mountains and known for their karst landscapes, hiking trails, and natural beauty.
-
D.
Veszprém Plateau
The Veszprém Plateau is a hilly limestone region in western Hungary known for its elevated terrain and the historic city of Veszprém situated upon it.
-
E.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea9638c081909a537cc44e485bee |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8995d1d081909f6a27220c2c267e |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8a9ea8308190b09debb8113bc963 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8b0f5dc8819087882c27b27d9a7f |
completed | April 2, 2026, 3:28 p.m. |
Created at: March 30, 2026, 6:21 p.m.