Triple

T4445754
Position Surface form Disambiguated ID Type / Status
Subject Wadern E96280 entity
Predicate hasSubdivision P747 FINISHED
Object Steinberg
Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
 E439005 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: Steinberg | Statement: [Wadern, hasSubdivision, Steinberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steinberg
Context triple: [Wadern, hasSubdivision, Steinberg]
  • A. Steinberg
    Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
  • B. Steinberg
    Steinberg is a small settlement in Norway situated along the Drammenselva river, known for its riverside location and local railway station.
  • C. DAW
    DAW was a United Nations division focused on promoting gender equality and advancing the status and rights of women worldwide.
  • D. Studio One
    Studio One is a legendary Jamaican recording studio and record label renowned as a foundational institution in the development of ska, rocksteady, and reggae music.
  • E. Studio One
    Studio One was a pioneering American television anthology drama series of the late 1940s and 1950s, known for its high-quality live productions and adaptations of notable literary works.
  • 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: Steinberg
Triple: [Wadern, hasSubdivision, Steinberg]
Generated description
Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steinberg
Target entity description: Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
  • A. Steinberg
    Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
  • B. Steinberg
    Steinberg is a small settlement in Norway situated along the Drammenselva river, known for its riverside location and local railway station.
  • C. DAW
    DAW was a United Nations division focused on promoting gender equality and advancing the status and rights of women worldwide.
  • D. Studio One
    Studio One is a legendary Jamaican recording studio and record label renowned as a foundational institution in the development of ska, rocksteady, and reggae music.
  • E. Studio One
    Studio One was a pioneering American television anthology drama series of the late 1940s and 1950s, known for its high-quality live productions and adaptations of notable literary works.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d1eba08190899d0a3c1684ce4e completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613850eb88190b689a632b0e2b374 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b61464b0dc81909cab007115435b8b completed March 15, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_69b6151440648190bf8c1c95e20caf13 completed March 15, 2026, 2:10 a.m.
Created at: March 12, 2026, 11:32 p.m.