Triple
T4254840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szentendre |
E95946
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Сентандреја
Сентандреја је живописни мађарски град на обали Дунава, познат по својој барокној архитектури, уметничким галеријама и српском културном наслеђу.
|
E424392
|
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: Сентандреја | Statement: [Szentendre, alternativeName, Сентандреја]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Сентандреја Context triple: [Szentendre, alternativeName, Сентандреја]
-
A.
Struga
Struga is a town in southwestern North Macedonia known for its location on the shores of Lake Ohrid and its annual international poetry festival.
-
B.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
C.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
D.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
E.
Svilajnac
Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
- 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: Сентандреја Triple: [Szentendre, alternativeName, Сентандреја]
Generated description
Сентандреја је живописни мађарски град на обали Дунава, познат по својој барокној архитектури, уметничким галеријама и српском културном наслеђу.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Сентандреја Target entity description: Сентандреја је живописни мађарски град на обали Дунава, познат по својој барокној архитектури, уметничким галеријама и српском културном наслеђу.
-
A.
Struga
Struga is a town in southwestern North Macedonia known for its location on the shores of Lake Ohrid and its annual international poetry festival.
-
B.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
C.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
D.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
E.
Svilajnac
Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a887703c81909a40f23f83154b8c |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a8ffd4508190b33117d3fc963b3d |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a9754d5c8190b1ab724a4758c22a |
completed | March 14, 2026, 6:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.