Triple

T4821195
Position Surface form Disambiguated ID Type / Status
Subject European Metropolis of Lille E107712 entity
Predicate includesCity P3207 FINISHED
Object Wasquehal
Wasquehal is a suburban commune in northern France that forms part of the Lille metropolitan area.
 E472565 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: Wasquehal | Statement: [European Metropolis of Lille, includesCity, Wasquehal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wasquehal
Context triple: [European Metropolis of Lille, includesCity, Wasquehal]
  • A. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • B. Lagoona
    Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
  • C. Dunoon
    Dunoon is a coastal town and former resort on the Cowal peninsula in Argyll and Bute, western Scotland.
  • D. Sandspit
    Sandspit is a small coastal community on Moresby Island in Haida Gwaii, British Columbia, known as a key access point to the archipelago and nearby Gwaii Haanas National Park Reserve.
  • E. Hawzen
    Hawzen is a town in northern Ethiopia’s Tigray Region, known for its nearby rock-hewn churches and its role in the region’s modern conflicts.
  • 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: Wasquehal
Triple: [European Metropolis of Lille, includesCity, Wasquehal]
Generated description
Wasquehal is a suburban commune in northern France that forms part of the Lille metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wasquehal
Target entity description: Wasquehal is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • A. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • B. Lagoona
    Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
  • C. Dunoon
    Dunoon is a coastal town and former resort on the Cowal peninsula in Argyll and Bute, western Scotland.
  • D. Sandspit
    Sandspit is a small coastal community on Moresby Island in Haida Gwaii, British Columbia, known as a key access point to the archipelago and nearby Gwaii Haanas National Park Reserve.
  • E. Hawzen
    Hawzen is a town in northern Ethiopia’s Tigray Region, known for its nearby rock-hewn churches and its role in the region’s modern conflicts.
  • 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.