Triple

T12000872
Position Surface form Disambiguated ID Type / Status
Subject Montélimar E285655 entity
Predicate twinning P102611 FINISHED
Object Rastatt E108471 NE FINISHED

How this triple was built (3 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: Rastatt | Statement: [Montélimar, twinning, Rastatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rastatt
Context triple: [Montélimar, twinning, Rastatt]
  • A. Rastatt chosen
    Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
  • B. Rottweil
    Rottweil is a historic town in southwestern Germany known for its medieval architecture and as the namesake of the Rottweiler dog breed.
  • C. Pforzheim
    Pforzheim is a city in southwestern Germany, historically known for its jewelry and watchmaking industry and its heavy destruction during World War II.
  • D. Bruchsal
    Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
  • E. Albstadt
    Albstadt is a town in the Swabian Jura region of Baden-Württemberg, Germany, known for its textile industry, scenic hiking and cycling routes, and role as a regional economic center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: twinning
Context triple: [Montélimar, twinning, Rastatt]
  • A. twinType
    Indicates that one entity is classified as a specific type or category of twin in relation to another entity.
  • B. hasTwin
    Indicates that one entity is a twin of another, sharing the same birth event or time with a sibling.
  • C. isTwinWith
    Indicates that two entities are twins, sharing the same birth parents and being born at (or very near) the same time.
  • D. hasArchitecturalTwin
    Indicates that two entities share nearly identical architectural design, form, or structure, effectively making them architectural counterparts or duplicates.
  • E. hasTwinStructureWith
    Indicates that two entities share an identical or nearly identical structural form, typically as corresponding or mirrored counterparts.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e476d48190b6d9fafa7fe1cb9f completed May 3, 2026, 4:58 a.m.
PD Predicate disambiguation batch_69d902b245cc8190af96a9c2bd9c6250 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d9038e39f881908c58c19802ba2eb0 completed April 10, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:46 p.m.