Triple

T9703688
Position Surface form Disambiguated ID Type / Status
Subject Dunaújváros E234840 entity
Predicate twinTown P1072 FINISHED
Object Eszék
Eszék is a city in eastern Croatia, known as Osijek in Croatian, and serves as an important cultural, economic, and administrative center of the Slavonia region.
E815480 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: Eszék | Statement: [Dunaújváros, twinTown, Eszék]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eszék
Context triple: [Dunaújváros, twinTown, Eszék]
  • A. Eperjes
    Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
  • B. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • C. Piliscsaba
    Piliscsaba is a town in Hungary known for its scenic setting near the Pilis Mountains and its role as a local educational and cultural center.
  • D. Alvaiázere
    Alvaiázere is a small municipality in central Portugal known for its rural landscape, chestnut and olive production, and traditional Portuguese village character.
  • E. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • 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: Eszék
Triple: [Dunaújváros, twinTown, Eszék]
Generated description
Eszék is a city in eastern Croatia, known as Osijek in Croatian, and serves as an important cultural, economic, and administrative center of the Slavonia region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eszék
Target entity description: Eszék is a city in eastern Croatia, known as Osijek in Croatian, and serves as an important cultural, economic, and administrative center of the Slavonia region.
  • A. Eperjes
    Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
  • B. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • C. Piliscsaba
    Piliscsaba is a town in Hungary known for its scenic setting near the Pilis Mountains and its role as a local educational and cultural center.
  • D. Alvaiázere
    Alvaiázere is a small municipality in central Portugal known for its rural landscape, chestnut and olive production, and traditional Portuguese village character.
  • E. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d73a0148190ad4178fd462cdd9c completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19132687c8190baf3a60af1b789a8 completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193150c00819080ed0fbb050b60bf completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:18 p.m.