Triple
T19423954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euralille |
E485931
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tour Lilleurope
Tour Lilleurope is a prominent office skyscraper in Lille, France, known for its modern architecture and central location within the Euralille business district.
|
E1375593
|
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: Tour Lilleurope | Statement: [Euralille, contains, Tour Lilleurope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Lilleurope Context triple: [Euralille, contains, Tour Lilleurope]
-
A.
Lille Europe
Lille Europe is a major high-speed railway station in Lille, France, serving international Eurostar and TGV services between the UK and continental Europe.
-
B.
Tour Régine
Tour Régine is a medieval stone tower that forms part of the fortified hilltop castle complex at Lastours in southern France.
-
C.
Tour Avant-Seine
Tour Avant-Seine is a residential high-rise tower in Paris that forms part of the modernist Front de Seine development along the Left Bank of the Seine.
-
D.
Tour Mercure
Tour Mercure is a residential high-rise tower located within the Front de Seine complex in Paris, France.
-
E.
AS Tours Ville
AS Tours Ville is the former name of the French football club now known as Tours FC.
- 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: Tour Lilleurope Triple: [Euralille, contains, Tour Lilleurope]
Generated description
Tour Lilleurope is a prominent office skyscraper in Lille, France, known for its modern architecture and central location within the Euralille business district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tour Lilleurope Target entity description: Tour Lilleurope is a prominent office skyscraper in Lille, France, known for its modern architecture and central location within the Euralille business district.
-
A.
Lille Europe
Lille Europe is a major high-speed railway station in Lille, France, serving international Eurostar and TGV services between the UK and continental Europe.
-
B.
Tour Régine
Tour Régine is a medieval stone tower that forms part of the fortified hilltop castle complex at Lastours in southern France.
-
C.
Tour Avant-Seine
Tour Avant-Seine is a residential high-rise tower in Paris that forms part of the modernist Front de Seine development along the Left Bank of the Seine.
-
D.
Tour Mercure
Tour Mercure is a residential high-rise tower located within the Front de Seine complex in Paris, France.
-
E.
AS Tours Ville
AS Tours Ville is the former name of the French football club now known as Tours FC.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e632169d9c81909a88704c6beb8fe0 |
completed | April 20, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733d40a648190b934f5dfc7b5d44f |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a07352d07a48190b29bfd46c7c93f30 |
completed | May 15, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0735b445388190a588f6eeaf49e1b7 |
completed | May 15, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.