Triple

T1594209
Position Surface form Disambiguated ID Type / Status
Subject Spree E34242 entity
Predicate flowsThrough P225 FINISHED
Object Spremberg
Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
E181515 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: Spremberg | Statement: [Spree, flowsThrough, Spremberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spremberg
Context triple: [Spree, flowsThrough, Spremberg]
  • A. Triberg
    Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
  • B. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • C. Derendingen
    Derendingen is a municipality in the canton of Solothurn in northwestern Switzerland, known as a residential and industrial community near the city of Solothurn.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • 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: Spremberg
Triple: [Spree, flowsThrough, Spremberg]
Generated description
Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spremberg
Target entity description: Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
  • A. Triberg
    Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
  • B. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • C. Derendingen
    Derendingen is a municipality in the canton of Solothurn in northwestern Switzerland, known as a residential and industrial community near the city of Solothurn.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092aed308190a0198a0fb977a9e5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a357d48190aa4151967ce6a947 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4941fcb08190adfba998bdadd3ef completed March 8, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69ad4a05981881908a16c126254c2050 completed March 8, 2026, 10:05 a.m.
Created at: March 4, 2026, 7:27 p.m.