Triple

T14019631
Position Surface form Disambiguated ID Type / Status
Subject Demmin E337293 entity
Predicate locatedOnRiver P165 FINISHED
Object Trebel
Trebel is a river in northeastern Germany that flows through the town of Demmin in the state of Mecklenburg-Vorpommern.
E1075810 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: Trebel | Statement: [Demmin, locatedOnRiver, Trebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trebel
Context triple: [Demmin, locatedOnRiver, Trebel]
  • A. Trebel
    Trebel is a small municipality in Lower Saxony, Germany, that forms part of the collective municipality (Samtgemeinde) Elbtalaue.
  • B. Trélod
    Trélod is a prominent mountain peak in the French Alps, known for its panoramic views over the Massif des Bauges and surrounding Savoyard landscapes.
  • C. Treuburg
    Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • 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: Trebel
Triple: [Demmin, locatedOnRiver, Trebel]
Generated description
Trebel is a river in northeastern Germany that flows through the town of Demmin in the state of Mecklenburg-Vorpommern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trebel
Target entity description: Trebel is a river in northeastern Germany that flows through the town of Demmin in the state of Mecklenburg-Vorpommern.
  • A. Trebel
    Trebel is a small municipality in Lower Saxony, Germany, that forms part of the collective municipality (Samtgemeinde) Elbtalaue.
  • B. Trélod
    Trélod is a prominent mountain peak in the French Alps, known for its panoramic views over the Massif des Bauges and surrounding Savoyard landscapes.
  • C. Treuburg
    Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3c7cd88190b236382058581740 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32d77108190b038e8a750738439 completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fc43e28e288190827925f45b942959 completed May 7, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fc444a30a48190a2f65afcd5424d14 completed May 7, 2026, 7:50 a.m.
Created at: April 9, 2026, 10:19 p.m.