Triple

T2843683
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Nassau E62530 entity
Predicate includedCity P8465 FINISHED
Object Ems
Ems is a historic spa town in present-day Germany, renowned for its mineral springs and 19th-century status as a fashionable European resort.
 E367740 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: Ems | Statement: [Duchy of Nassau, includedCity, Ems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ems
Context triple: [Duchy of Nassau, includedCity, Ems]
  • A. Ems
    The Ems is a river in northwestern Germany that flows through several states before emptying into the North Sea.
  • B. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • C. Rheine
    Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
  • D. Rhine
    The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
  • E. Diemel
    The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
  • 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: Ems
Triple: [Duchy of Nassau, includedCity, Ems]
Generated description
Ems is a historic spa town in present-day Germany, renowned for its mineral springs and 19th-century status as a fashionable European resort.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ems
Target entity description: Ems is a historic spa town in present-day Germany, renowned for its mineral springs and 19th-century status as a fashionable European resort.
  • A. Ems
    The Ems is a river in northwestern Germany that flows through several states before emptying into the North Sea.
  • B. Rhens
    Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
  • C. Rheine
    Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
  • D. Rhine
    The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
  • E. Diemel
    The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1a07508190be35fe85733ddeed completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b38ba5bc088190bd656c2959cdfb6a completed March 13, 2026, 3:59 a.m.
NEDg Description generation batch_69b3acb9a94c81909f6d0a3f43dc43e9 completed March 13, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_69b3ad2484288190ad5c603418e984fb completed March 13, 2026, 6:22 a.m.
Created at: March 6, 2026, 10:02 p.m.