Triple

T11682910
Position Surface form Disambiguated ID Type / Status
Subject Eisenhüttenstadt E277662 entity
Predicate foundedAs P364 FINISHED
Object Stalinstadt
Stalinstadt was the original name of the East German planned industrial city later known as Eisenhüttenstadt, built around a large steelworks complex.
 E940696 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: Stalinstadt | Statement: [Eisenhüttenstadt, foundedAs, Stalinstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stalinstadt
Context triple: [Eisenhüttenstadt, foundedAs, Stalinstadt]
  • A. Sztálinváros
    Sztálinváros was the former name of the Hungarian industrial city now known as Dunaújváros, built as a model socialist steel-producing center during the communist era.
  • B. Lichtenrade
    Lichtenrade is a southern residential locality of Berlin known for its village-like character, green spaces, and proximity to the city’s outskirts.
  • C. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • D. Goldap
    Goldap is a town in northeastern Poland near the border with Russia’s Kaliningrad Oblast, historically notable for its strategic location and heavy fighting during World War II.
  • E. Kozelsk
    Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
  • 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: Stalinstadt
Triple: [Eisenhüttenstadt, foundedAs, Stalinstadt]
Generated description
Stalinstadt was the original name of the East German planned industrial city later known as Eisenhüttenstadt, built around a large steelworks complex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stalinstadt
Target entity description: Stalinstadt was the original name of the East German planned industrial city later known as Eisenhüttenstadt, built around a large steelworks complex.
  • A. Sztálinváros
    Sztálinváros was the former name of the Hungarian industrial city now known as Dunaújváros, built as a model socialist steel-producing center during the communist era.
  • B. Lichtenrade
    Lichtenrade is a southern residential locality of Berlin known for its village-like character, green spaces, and proximity to the city’s outskirts.
  • C. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • D. Goldap
    Goldap is a town in northeastern Poland near the border with Russia’s Kaliningrad Oblast, historically notable for its strategic location and heavy fighting during World War II.
  • E. Kozelsk
    Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef142269d08190a9e5cf8d6268168b completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef35527f908190b681afdae3aec319 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51ec07ec8190b5cd97cf909388f0 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.