Triple

T10691655
Position Surface form Disambiguated ID Type / Status
Subject Rheinhausen E252023 entity
Predicate hasPart P35 FINISHED
Object Oestrum
Oestrum is a district or locality within the town of Rheinhausen in Germany.
E878411 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: Oestrum | Statement: [Rheinhausen, hasPart, Oestrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oestrum
Context triple: [Rheinhausen, hasPart, Oestrum]
  • A. Hesperis
    Hesperis is a figure from Greek mythology, often associated with the evening or the West and sometimes linked to the Hesperides, the nymphs of the evening and golden light.
  • B. Anthemiolus
    Anthemiolus was a late Western Roman nobleman and son of Emperor Anthemius, known primarily for his failed military involvement against the Visigoths in Gaul.
  • C. Aloysia
    Aloysia is a feminine given name, historically used in European contexts and closely related to the name Louise.
  • D. Oxyria
    Oxyria is a small genus of hardy, often alpine or arctic flowering plants in the knotweed family, known for species like mountain sorrel.
  • E. Euodia
    Euodia is a Christian woman mentioned in the New Testament book of Philippians, known for a disagreement with another woman named Syntyche that Paul urges them to resolve.
  • 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: Oestrum
Triple: [Rheinhausen, hasPart, Oestrum]
Generated description
Oestrum is a district or locality within the town of Rheinhausen in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oestrum
Target entity description: Oestrum is a district or locality within the town of Rheinhausen in Germany.
  • A. Hesperis
    Hesperis is a figure from Greek mythology, often associated with the evening or the West and sometimes linked to the Hesperides, the nymphs of the evening and golden light.
  • B. Anthemiolus
    Anthemiolus was a late Western Roman nobleman and son of Emperor Anthemius, known primarily for his failed military involvement against the Visigoths in Gaul.
  • C. Aloysia
    Aloysia is a feminine given name, historically used in European contexts and closely related to the name Louise.
  • D. Oxyria
    Oxyria is a small genus of hardy, often alpine or arctic flowering plants in the knotweed family, known for species like mountain sorrel.
  • E. Euodia
    Euodia is a Christian woman mentioned in the New Testament book of Philippians, known for a disagreement with another woman named Syntyche that Paul urges them to resolve.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3705788190bcbdef93b4c5f574 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988ad741c8190b9ae962e0c5bc272 completed April 10, 2026, 11:33 p.m.
NEDg Description generation batch_69d98aecef388190a270e92c93ccca05 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c04e8c08190b4d7bc63357c69f4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.