Triple

T4821207
Position Surface form Disambiguated ID Type / Status
Subject European Metropolis of Lille E107712 entity
Predicate includesCity P3207 FINISHED
Object Lomme
Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
 E472572 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: Lomme | Statement: [European Metropolis of Lille, includesCity, Lomme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lomme
Context triple: [European Metropolis of Lille, includesCity, Lomme]
  • A. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • B. Lamme
    Lamme is a small river in Lower Saxony, Germany, that serves as a tributary of the Innerste.
  • C. Lamme
    Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
  • D. Loimaa
    Loimaa is a town and municipality in southwestern Finland known for its agricultural surroundings and small-town character.
  • E. Moudon
    Moudon is a historic town and former district capital in the canton of Vaud, Switzerland, known for its medieval old town and location in the Broye valley.
  • 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: Lomme
Triple: [European Metropolis of Lille, includesCity, Lomme]
Generated description
Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lomme
Target entity description: Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
  • A. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • B. Lamme
    Lamme is a small river in Lower Saxony, Germany, that serves as a tributary of the Innerste.
  • C. Lamme
    Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
  • D. Loimaa
    Loimaa is a town and municipality in southwestern Finland known for its agricultural surroundings and small-town character.
  • E. Moudon
    Moudon is a historic town and former district capital in the canton of Vaud, Switzerland, known for its medieval old town and location in the Broye valley.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c99b46c8190b6fbcf9f98b9e993 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc3cf5c8190bcd6ef039bab9878 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e8385e08190a46b1e129234c884 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f27f5a48190b639c9212e46f21d completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:24 p.m.