Triple

T23293024
Position Surface form Disambiguated ID Type / Status
Subject Stühlingen E590085 entity
Predicate hasSubdivision P747 FINISHED
Object Schwaningen NE NERFINISHED

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: Schwaningen | Statement: [Stühlingen, hasSubdivision, Schwaningen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwaningen
Context triple: [Stühlingen, hasSubdivision, Schwaningen]
  • A. Schwamendingen
    Schwamendingen is a district in the northern part of Zurich, Switzerland, known for its residential neighborhoods and proximity to green recreational areas.
  • B. Stitswerd
    Stitswerd is a small village in the northern Netherlands, located in the province of Groningen.
  • C. Zandhoven
    Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
  • D. Sassenheim
    Sassenheim is a town in the Dutch province of South Holland, known historically for its bulb-growing industry and location within the Duin- en Bollenstreek (Dune and Bulb Region).
  • E. Gailingen
    Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schwaningen
Target entity description: Schwaningen is a village and district within the town of Stühlingen in the state of Baden-Württemberg in southwestern Germany.
  • A. Schwamendingen
    Schwamendingen is a district in the northern part of Zurich, Switzerland, known for its residential neighborhoods and proximity to green recreational areas.
  • B. Stitswerd
    Stitswerd is a small village in the northern Netherlands, located in the province of Groningen.
  • C. Zandhoven
    Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
  • D. Sassenheim
    Sassenheim is a town in the Dutch province of South Holland, known historically for its bulb-growing industry and location within the Duin- en Bollenstreek (Dune and Bulb Region).
  • E. Gailingen
    Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
  • F. None of above. chosen

Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196ccd9b481909ab5d3504640025e completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:02 p.m.