Triple

T9151516
Position Surface form Disambiguated ID Type / Status
Subject District of Starnberg E219595 entity
Predicate hasMunicipality P847 FINISHED
Object Gilching
Gilching is a Bavarian municipality near Munich known for its residential character, local industry, and proximity to the Ammersee and Lake Starnberg recreation areas.
E791116 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: Gilching | Statement: [District of Starnberg, hasMunicipality, Gilching]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilching
Context triple: [District of Starnberg, hasMunicipality, Gilching]
  • A. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • B. Drensteinfurt
    Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
  • C. Rödelheim
    Rödelheim is a district of Frankfurt am Main, Germany, known as a largely residential area with good transport links and local amenities.
  • D. Dornstadt
    Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
  • E. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • 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: Gilching
Triple: [District of Starnberg, hasMunicipality, Gilching]
Generated description
Gilching is a Bavarian municipality near Munich known for its residential character, local industry, and proximity to the Ammersee and Lake Starnberg recreation areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gilching
Target entity description: Gilching is a Bavarian municipality near Munich known for its residential character, local industry, and proximity to the Ammersee and Lake Starnberg recreation areas.
  • A. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • B. Drensteinfurt
    Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
  • C. Rödelheim
    Rödelheim is a district of Frankfurt am Main, Germany, known as a largely residential area with good transport links and local amenities.
  • D. Dornstadt
    Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
  • E. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96cf4548190a3a45172f0e9d0ec completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c6fd5d4481909300c5101304f35f completed April 4, 2026, 8:08 a.m.
NEDg Description generation batch_69d0c88301f08190b235b6df510ac418 completed April 4, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69d0c8db2e6c8190a0505fc9ee86552c completed April 4, 2026, 8:16 a.m.
Created at: March 30, 2026, 7:20 p.m.