Triple

T10950836
Position Surface form Disambiguated ID Type / Status
Subject Niendorf E258720 entity
Predicate hasMainStreet P461 FINISHED
Object Tibarg
Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
 E896603 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: Tibarg | Statement: [Niendorf, hasMainStreet, Tibarg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tibarg
Context triple: [Niendorf, hasMainStreet, Tibarg]
  • A. Torbeshi
    Torbeshi are a Slavic-speaking Muslim ethnic group primarily living in North Macedonia and neighboring Balkan regions.
  • B. Tirico
    Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
  • C. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • D. Thibar
    Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
  • E. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • 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: Tibarg
Triple: [Niendorf, hasMainStreet, Tibarg]
Generated description
Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tibarg
Target entity description: Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
  • A. Torbeshi
    Torbeshi are a Slavic-speaking Muslim ethnic group primarily living in North Macedonia and neighboring Balkan regions.
  • B. Tirico
    Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
  • C. Gardabani
    Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
  • D. Thibar
    Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
  • E. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fc156c8190826e124c13ce7242 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
NEDg Description generation batch_69e2ff1ddd2c8190b31f5007f7492a4e completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3260494bc81909e3dd4829697fb72 completed April 18, 2026, 6:34 a.m.
Created at: April 8, 2026, 9:23 p.m.