Triple

T10151097
Position Surface form Disambiguated ID Type / Status
Subject Leonberg E232640 entity
Predicate hasHeritageSite P923 FINISHED
Object Leonberg old town E232640 NE FINISHED

How this triple was built (2 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: Leonberg old town | Statement: [Leonberg, hasHeritageSite, Leonberg old town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonberg old town
Context triple: [Leonberg, hasHeritageSite, Leonberg old town]
  • A. Leonberg chosen
    Leonberg is a historic town in the German state of Baden-Württemberg, near Stuttgart, known for its picturesque old town and Renaissance-era Pomeranzengarten (orange garden).
  • B. Old Town of Basel
    The Old Town of Basel is the historic city center of Basel, Switzerland, known for its well-preserved medieval architecture, narrow streets, and cultural landmarks.
  • C. Strasbourg old town
    Strasbourg old town is the historic center of Strasbourg, France, known for its medieval half-timbered houses, canals, and the UNESCO-listed Grande Île.
  • D. Lindenhof
    Lindenhof is a locality or neighborhood that forms part of the town of Oberndorf am Neckar in the German state of Baden-Württemberg.
  • E. Old Town of Liestal
    The Old Town of Liestal is a historic Swiss town center characterized by its medieval street layout, traditional architecture, and well-preserved heritage buildings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e640d1e0819094d30556ccb958b0 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.