Triple

T8797478
Position Surface form Disambiguated ID Type / Status
Subject Bad Camberg E209324 entity
Predicate hasPart P35 FINISHED
Object Dombach
Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, Germany.
E797626 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: Dombach | Statement: [Bad Camberg, hasPart, Dombach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dombach
Context triple: [Bad Camberg, hasPart, Dombach]
  • A. Donsbach
    Donsbach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis region of Hesse, Germany.
  • B. Durbach
    Durbach is a wine-growing municipality in southwestern Germany, renowned for its vineyards and picturesque location in the Black Forest region.
  • C. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • D. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • E. Pfullendorf
    Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
  • 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: Dombach
Triple: [Bad Camberg, hasPart, Dombach]
Generated description
Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dombach
Target entity description: Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, Germany.
  • A. Donsbach
    Donsbach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis region of Hesse, Germany.
  • B. Durbach
    Durbach is a wine-growing municipality in southwestern Germany, renowned for its vineyards and picturesque location in the Black Forest region.
  • C. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • D. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • E. Pfullendorf
    Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10771c3288190860875ebcc12103e completed April 4, 2026, 12:43 p.m.
NEDg Description generation batch_69d1086f03808190896186daa5857e39 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d1090215308190beda7c0115020f5b completed April 4, 2026, 12:50 p.m.
Created at: March 30, 2026, 6:44 p.m.