Triple

T4821194
Position Surface form Disambiguated ID Type / Status
Subject European Metropolis of Lille E107712 entity
Predicate includesCity P3207 FINISHED
Object Hem
Hem is a suburban commune in northern France located near the city of Lille.
 E472564 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: Hem | Statement: [European Metropolis of Lille, includesCity, Hem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hem
Context triple: [European Metropolis of Lille, includesCity, Hem]
  • A. Hemiksem
    Hemiksem is a municipality in the Belgian province of Antwerp, situated along the Rupel River and known for its historical abbey and industrial heritage.
  • B. Hemkade
    Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
  • C. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • D. HM
    HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
  • E. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • 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: Hem
Triple: [European Metropolis of Lille, includesCity, Hem]
Generated description
Hem is a suburban commune in northern France located near the city of Lille.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hem
Target entity description: Hem is a suburban commune in northern France located near the city of Lille.
  • A. Hemiksem
    Hemiksem is a municipality in the Belgian province of Antwerp, situated along the Rupel River and known for its historical abbey and industrial heritage.
  • B. Hemkade
    Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
  • C. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • D. HM
    HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
  • E. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • 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.