Triple

T2775093
Position Surface form Disambiguated ID Type / Status
Subject River Leine E61548 entity
Predicate flowsThrough P225 FINISHED
Object Pattensen
Pattensen is a small town in Lower Saxony, Germany, situated just south of Hanover in a predominantly rural and agricultural region.
 E297420 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: Pattensen | Statement: [River Leine, flowsThrough, Pattensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pattensen
Context triple: [River Leine, flowsThrough, Pattensen]
  • A. Pattan
    Pattan is a town located in Pakistan’s mountainous Kohistan region, known as a key settlement along the Karakoram Highway.
  • B. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • C. Rotebro
    Rotebro is a suburban district in the northern Stockholm area of Sweden, known for its residential neighborhoods and commuter connections.
  • D. Vestby
    Vestby is a municipality in Viken county in southeastern Norway, known for its coastal location along the Oslofjord and proximity to Oslo.
  • E. Patten
    Patten is a surname and variant spelling of "Patton," borne by various individuals across English-speaking countries.
  • 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: Pattensen
Triple: [River Leine, flowsThrough, Pattensen]
Generated description
Pattensen is a small town in Lower Saxony, Germany, situated just south of Hanover in a predominantly rural and agricultural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pattensen
Target entity description: Pattensen is a small town in Lower Saxony, Germany, situated just south of Hanover in a predominantly rural and agricultural region.
  • A. Pattan
    Pattan is a town located in Pakistan’s mountainous Kohistan region, known as a key settlement along the Karakoram Highway.
  • B. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • C. Rotebro
    Rotebro is a suburban district in the northern Stockholm area of Sweden, known for its residential neighborhoods and commuter connections.
  • D. Vestby
    Vestby is a municipality in Viken county in southeastern Norway, known for its coastal location along the Oslofjord and proximity to Oslo.
  • E. Patten
    Patten is a surname and variant spelling of "Patton," borne by various individuals across English-speaking countries.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7f9570819087f1b1cb59d68586 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc058c8a48190bbd151251678b4ee completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:57 p.m.