Triple

T23215869
Position Surface form Disambiguated ID Type / Status
Subject Troisdorf E580736 entity
Predicate hasDistrict P459 FINISHED
Object Spich
Spich is a district of the German city of Troisdorf in North Rhine-Westphalia, known as a residential area with local amenities and transport links.
 E1573155 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: Spich | Statement: [Troisdorf, hasDistrict, Spich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spich
Context triple: [Troisdorf, hasDistrict, Spich]
  • A. Spickler
    Spickler is the birth surname of American actress and producer Mimi Rogers.
  • B. Spilka
    Spilka is a surname most notably associated with Karen E. Spilka, an American politician and attorney who has served as President of the Massachusetts Senate.
  • C. Spitta
    Spitta is the stage name of Curren$y, a New Orleans rapper known for his laid-back flow, prolific mixtape output, and weed-centric, luxury-lifestyle lyrics.
  • D. Spangmik
    Spangmik is a small remote village in Ladakh, India, known for its scenic location along the shores of Pangong Tso and as a base for high-altitude tourism.
  • E. Spotnitz
    Spotnitz is a surname most notably associated with Frank Spotnitz, an American television writer and producer known for his work on series such as The X-Files.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Spich
Triple: [Troisdorf, hasDistrict, Spich]
Generated description
Spich is a district of the German city of Troisdorf in North Rhine-Westphalia, known as a residential area with local amenities and transport links.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spich
Target entity description: Spich is a district of the German city of Troisdorf in North Rhine-Westphalia, known as a residential area with local amenities and transport links.
  • A. Spickler
    Spickler is the birth surname of American actress and producer Mimi Rogers.
  • B. Spilka
    Spilka is a surname most notably associated with Karen E. Spilka, an American politician and attorney who has served as President of the Massachusetts Senate.
  • C. Spitta
    Spitta is the stage name of Curren$y, a New Orleans rapper known for his laid-back flow, prolific mixtape output, and weed-centric, luxury-lifestyle lyrics.
  • D. Spangmik
    Spangmik is a small remote village in Ladakh, India, known for its scenic location along the shores of Pangong Tso and as a base for high-altitude tourism.
  • E. Spotnitz
    Spotnitz is a surname most notably associated with Frank Spotnitz, an American television writer and producer known for his work on series such as The X-Files.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191646c548190a3f7150f0c253dc1 completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30ca89508190847874ab3bc1e01f completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c31f385a881908283a8b079c4128a completed May 19, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c32ece3148190a22881d69c42e948 completed May 19, 2026, 9:52 a.m.
Created at: April 17, 2026, 4:08 p.m.