Triple

T13674188
Position Surface form Disambiguated ID Type / Status
Subject district of Roth E327828 entity
Predicate contains P35 FINISHED
Object Thalmässing
Thalmässing is a market town in the Roth district of Bavaria, Germany, known for its rural character and historical Franconian heritage.
 E1052383 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: Thalmässing | Statement: [district of Roth, contains, Thalmässing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thalmässing
Context triple: [district of Roth, contains, Thalmässing]
  • A. Halblech
    Halblech is a river in Bavaria, Germany, known as a tributary of the Ammer.
  • B. Altinum
    Altinum was an important ancient settlement in northeastern Italy, serving as a key Venetic and later Roman port and trading center near the Venetian lagoon.
  • C. Samnium
    Samnium was an ancient region of south-central Italy inhabited by the Samnites, an Oscan-speaking Italic people known for their wars with the Roman Republic.
  • D. Argenta
    Argenta is a historic town and municipality in Italy’s Emilia-Romagna region, known for its wetlands, agricultural landscape, and role in World War II.
  • E. Solidere
    Solidere is a Lebanese real estate company responsible for the post-civil war reconstruction and development of Beirut’s central district.
  • 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: Thalmässing
Triple: [district of Roth, contains, Thalmässing]
Generated description
Thalmässing is a market town in the Roth district of Bavaria, Germany, known for its rural character and historical Franconian heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thalmässing
Target entity description: Thalmässing is a market town in the Roth district of Bavaria, Germany, known for its rural character and historical Franconian heritage.
  • A. Halblech
    Halblech is a river in Bavaria, Germany, known as a tributary of the Ammer.
  • B. Altinum
    Altinum was an important ancient settlement in northeastern Italy, serving as a key Venetic and later Roman port and trading center near the Venetian lagoon.
  • C. Samnium
    Samnium was an ancient region of south-central Italy inhabited by the Samnites, an Oscan-speaking Italic people known for their wars with the Roman Republic.
  • D. Argenta
    Argenta is a historic town and municipality in Italy’s Emilia-Romagna region, known for its wetlands, agricultural landscape, and role in World War II.
  • E. Solidere
    Solidere is a Lebanese real estate company responsible for the post-civil war reconstruction and development of Beirut’s central district.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65aab348190a6611f5765f8392d completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b145fa081908521c103201f3afe completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c9f543481909a0de6a0c3bb041f completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:53 p.m.