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.