Triple

T9703658
Position Surface form Disambiguated ID Type / Status
Subject Dunaújváros E234840 entity
Predicate foundedAs P364 FINISHED
Object Pentele
Pentele is the historical settlement that later developed into the modern Hungarian industrial city of Dunaújváros.
 E815472 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: Pentele | Statement: [Dunaújváros, foundedAs, Pentele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pentele
Context triple: [Dunaújváros, foundedAs, Pentele]
  • A. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • B. Pallatanga
    Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
  • C. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • D. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • E. Karpenisi
    Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
  • 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: Pentele
Triple: [Dunaújváros, foundedAs, Pentele]
Generated description
Pentele is the historical settlement that later developed into the modern Hungarian industrial city of Dunaújváros.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pentele
Target entity description: Pentele is the historical settlement that later developed into the modern Hungarian industrial city of Dunaújváros.
  • A. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • B. Pallatanga
    Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
  • C. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • D. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • E. Karpenisi
    Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
  • 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.