Triple

T14951061
Position Surface form Disambiguated ID Type / Status
Subject Weimarer Land E372793 entity
Predicate containsMunicipality P852 FINISHED
Object Oettern
Oettern is a small municipality located in the Weimarer Land district in the federal state of Thuringia, Germany.
E1167807 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: Oettern | Statement: [Weimarer Land, containsMunicipality, Oettern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oettern
Context triple: [Weimarer Land, containsMunicipality, Oettern]
  • A. Ottenau
    Ottenau is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
  • B. 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.
  • C. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • D. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • E. Eppenhain
    Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
  • 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: Oettern
Triple: [Weimarer Land, containsMunicipality, Oettern]
Generated description
Oettern is a small municipality located in the Weimarer Land district in the federal state of Thuringia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oettern
Target entity description: Oettern is a small municipality located in the Weimarer Land district in the federal state of Thuringia, Germany.
  • A. Ottenau
    Ottenau is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
  • B. 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.
  • C. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • D. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • E. Eppenhain
    Eppenhain is a district of the town of Kelkheim in the Main-Taunus region of Hesse, Germany, known for its proximity to the Taunus hills and forested surroundings.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f21a97c819082b59b343ef337ec completed May 9, 2026, 4:21 p.m.
NEDg Description generation batch_69ff609eafb881909eb69307d41ab676 completed May 9, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69ff612340748190987e567e43460f62 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 2:39 a.m.