Triple

T5562659
Position Surface form Disambiguated ID Type / Status
Subject Ergolz E145800 entity
Predicate hasTributary P415 FINISHED
Object Eibach
Eibach is a small stream in Switzerland that serves as a tributary of the Ergolz River.
 E534210 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: Eibach | Statement: [Ergolz, hasTributary, Eibach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eibach
Context triple: [Ergolz, hasTributary, Eibach]
  • A. Yoshimura
    Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • B. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • C. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Ebara
    Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
  • E. Hella
    Hella is a central character in James Baldwin’s novel "Giovanni’s Room," serving as the protagonist’s fiancée and a key figure in exploring themes of sexuality, identity, and societal expectations.
  • 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: Eibach
Triple: [Ergolz, hasTributary, Eibach]
Generated description
Eibach is a small stream in Switzerland that serves as a tributary of the Ergolz River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eibach
Target entity description: Eibach is a small stream in Switzerland that serves as a tributary of the Ergolz River.
  • A. Yoshimura
    Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • B. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • C. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Ebara
    Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
  • E. Hella
    Hella is a central character in James Baldwin’s novel "Giovanni’s Room," serving as the protagonist’s fiancée and a key figure in exploring themes of sexuality, identity, and societal expectations.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201ba0e88190acd5bfaa5973f2d8 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d0ca0088190a5d63139ba194e8e completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e868cc48190bdb245ba52b9b938 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f0de68c8190817b525f2d8ef327 completed March 22, 2026, 8:20 p.m.
Created at: March 22, 2026, 3:36 p.m.