Triple

T7500561
Position Surface form Disambiguated ID Type / Status
Subject Lesum E177246 entity
Predicate locatedNear P294 FINISHED
Object Vegesack
Vegesack is a district of the German city of Bremen, known historically as a port and shipbuilding center at the confluence of the Weser and Lesum rivers.
E668620 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: Vegesack | Statement: [Lesum, locatedNear, Vegesack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vegesack
Context triple: [Lesum, locatedNear, Vegesack]
  • A. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • B. Buriton
    Buriton is a rural village and civil parish in Hampshire, England, known for its scenic setting near the South Downs and its historic church and ponds.
  • C. Frikat
    Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
  • D. Utz
    Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
  • E. Nabo
    Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
  • 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: Vegesack
Triple: [Lesum, locatedNear, Vegesack]
Generated description
Vegesack is a district of the German city of Bremen, known historically as a port and shipbuilding center at the confluence of the Weser and Lesum rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vegesack
Target entity description: Vegesack is a district of the German city of Bremen, known historically as a port and shipbuilding center at the confluence of the Weser and Lesum rivers.
  • A. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • B. Buriton
    Buriton is a rural village and civil parish in Hampshire, England, known for its scenic setting near the South Downs and its historic church and ponds.
  • C. Frikat
    Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
  • D. Utz
    Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
  • E. Nabo
    Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59aabb8819085bdbe9c793d5b8b completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9490fc81908d35c0537b45aa13 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e17c25c8190a7a329f0a6169fac completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:44 p.m.