Triple

T16550127
Position Surface form Disambiguated ID Type / Status
Subject Neckarsulm E402048 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Oedheim
Oedheim is a small municipality in the Heilbronn district of Baden-Württemberg in southern Germany.
E1219428 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: Oedheim | Statement: [Neckarsulm, hasNeighbouringMunicipality, Oedheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oedheim
Context triple: [Neckarsulm, hasNeighbouringMunicipality, Oedheim]
  • A. Ederheim
    Ederheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • B. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • C. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • D. Hurdal
    Hurdal is a rural municipality in Viken county, Norway, known for its forests, lakes, and outdoor recreation areas such as Hurdalssjøen.
  • E. Neheim
    Neheim is a district of the city of Arnsberg in North Rhine-Westphalia, Germany, known historically for its lighting industry and location in the Ruhr region.
  • 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: Oedheim
Triple: [Neckarsulm, hasNeighbouringMunicipality, Oedheim]
Generated description
Oedheim is a small municipality in the Heilbronn district of Baden-Württemberg in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oedheim
Target entity description: Oedheim is a small municipality in the Heilbronn district of Baden-Württemberg in southern Germany.
  • A. Ederheim
    Ederheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
  • B. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • C. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • D. Hurdal
    Hurdal is a rural municipality in Viken county, Norway, known for its forests, lakes, and outdoor recreation areas such as Hurdalssjøen.
  • E. Neheim
    Neheim is a district of the city of Arnsberg in North Rhine-Westphalia, Germany, known historically for its lighting industry and location in the Ruhr region.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc451dc8190b571d5010f4017f4 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b6ca44819085145eb48356e7b4 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00687d228081909d0a39f2c23d4e4d completed May 10, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a006907419881909e8f71714bbe054a completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:15 a.m.