Triple

T8977715
Position Surface form Disambiguated ID Type / Status
Subject Muttenz E214435 entity
Predicate borders P224 FINISHED
Object Frenkendorf
Frenkendorf is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, located near the city of Basel.
E771530 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: Frenkendorf | Statement: [Muttenz, borders, Frenkendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frenkendorf
Context triple: [Muttenz, borders, Frenkendorf]
  • A. Plittersdorf
    Plittersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • B. Rheineck
    Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
  • C. Pennenfeld
    Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
  • D. Friesdorf
    Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • E. Pfeffingen
    Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
  • 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: Frenkendorf
Triple: [Muttenz, borders, Frenkendorf]
Generated description
Frenkendorf is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, located near the city of Basel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frenkendorf
Target entity description: Frenkendorf is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, located near the city of Basel.
  • A. Plittersdorf
    Plittersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • B. Rheineck
    Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
  • C. Pennenfeld
    Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
  • D. Friesdorf
    Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • E. Pfeffingen
    Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a33c8481909125acf4b7f0a919 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0afe9688190bdd66198ab31c2c7 completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd14a28d48190b63561f9a537daeb completed April 3, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfd1fd6db08190921285c3cfd3ce91 completed April 3, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:02 p.m.