Triple

T14732598
Position Surface form Disambiguated ID Type / Status
Subject Iserlohn E346114 entity
Predicate hasCityDistrict P2709 FINISHED
Object Hennen
Hennen is a district of the German city of Iserlohn, located in the state of North Rhine-Westphalia.
 E1117925 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: Hennen | Statement: [Iserlohn, hasCityDistrict, Hennen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hennen
Context triple: [Iserlohn, hasCityDistrict, Hennen]
  • A. Henniez
    Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
  • B. Hennings
    Hennings is a German surname most notably associated with Emmy Hennings, a poet, performer, and co-founder of the Dada movement.
  • C. Hennenman
    Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
  • D. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • E. Hanem
    Hanem is an Ottoman-era honorific title used for women of high social standing, similar to "lady" or "madam."
  • 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: Hennen
Triple: [Iserlohn, hasCityDistrict, Hennen]
Generated description
Hennen is a district of the German city of Iserlohn, located in the state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hennen
Target entity description: Hennen is a district of the German city of Iserlohn, located in the state of North Rhine-Westphalia.
  • A. Henniez
    Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
  • B. Hennings
    Hennings is a German surname most notably associated with Emmy Hennings, a poet, performer, and co-founder of the Dada movement.
  • C. Hennenman
    Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
  • D. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • E. Hanem
    Hanem is an Ottoman-era honorific title used for women of high social standing, similar to "lady" or "madam."
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb89ea388190b356df74e36023f7 completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdfdd73dcc8190bd0340b2f2a2c54a completed May 8, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69fdfe70e03481909eb9a9bf863f826b completed May 8, 2026, 3:17 p.m.
Created at: April 10, 2026, 1:29 a.m.