Triple

T19335258
Position Surface form Disambiguated ID Type / Status
Subject Giessen district E483605 entity
Predicate contains P35 FINISHED
Object Laubach
Laubach is a small historic town in the German state of Hesse, known for its medieval old town and Laubach Castle.
E1370347 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: Laubach | Statement: [Giessen district, contains, Laubach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laubach
Context triple: [Giessen district, contains, Laubach]
  • A. Lauibach
    Lauibach is a stream in Switzerland that serves as a primary tributary feeding into Lake Lungern in the canton of Obwalden.
  • B. Lambach
    Lambach is a market town in Upper Austria known for its historic Benedictine monastery and its location along the Traun River.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Lohrberg
    Lohrberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and scenic hiking paths overlooking the Rhine valley.
  • E. Lohrberg
    Lohrberg is a hill and popular recreational area in Frankfurt am Main, known for its vineyards, panoramic city views, and green spaces.
  • 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: Laubach
Triple: [Giessen district, contains, Laubach]
Generated description
Laubach is a small historic town in the German state of Hesse, known for its medieval old town and Laubach Castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laubach
Target entity description: Laubach is a small historic town in the German state of Hesse, known for its medieval old town and Laubach Castle.
  • A. Lauibach
    Lauibach is a stream in Switzerland that serves as a primary tributary feeding into Lake Lungern in the canton of Obwalden.
  • B. Lambach
    Lambach is a market town in Upper Austria known for its historic Benedictine monastery and its location along the Traun River.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Lohrberg
    Lohrberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and scenic hiking paths overlooking the Rhine valley.
  • E. Lohrberg
    Lohrberg is a hill and popular recreational area in Frankfurt am Main, known for its vineyards, panoramic city views, and green spaces.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be2c2a08190bb0a00660b09e1c7 completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071cdb6ecc81908a00c82b8f80613f completed May 15, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a071d4dd0048190ad7561f76915a72f completed May 15, 2026, 1:19 p.m.
Created at: April 10, 2026, 1:33 p.m.