Triple

T9630527
Position Surface form Disambiguated ID Type / Status
Subject Hamburg-Mitte E232790 entity
Predicate contains P35 FINISHED
Object Veddel
Veddel is a small island district of Hamburg, Germany, known for its port-related industries and multicultural residential community.
 E812024 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: Veddel | Statement: [Hamburg-Mitte, contains, Veddel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Veddel
Context triple: [Hamburg-Mitte, contains, Veddel]
  • A. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • B. Vitte
    Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
  • C. Veitvet
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • D. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • E. Giæver
    Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
  • 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: Veddel
Triple: [Hamburg-Mitte, contains, Veddel]
Generated description
Veddel is a small island district of Hamburg, Germany, known for its port-related industries and multicultural residential community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Veddel
Target entity description: Veddel is a small island district of Hamburg, Germany, known for its port-related industries and multicultural residential community.
  • A. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • B. Vitte
    Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
  • C. Veitvet
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • D. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • E. Giæver
    Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1822e12b8819089d4a64a9980cfcd completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d183c71a44819092f556c8b1301fca completed April 4, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69d1842ba7088190bc663ede36b2d396 completed April 4, 2026, 9:35 p.m.
Created at: March 30, 2026, 8:11 p.m.