Triple
T10985993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeneuve-la-Garenne |
E259630
|
entity |
| Predicate | hasShoppingCentre |
P4285
|
FINISHED |
| Object |
Qwartz
Qwartz is a large modern shopping mall and leisure complex located in Villeneuve-la-Garenne, in the northern suburbs of Paris, France.
|
E898205
|
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: Qwartz | Statement: [Villeneuve-la-Garenne, hasShoppingCentre, Qwartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qwartz Context triple: [Villeneuve-la-Garenne, hasShoppingCentre, Qwartz]
-
A.
Quartz
Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
-
B.
Quartz
Quartz is Apple's 2D graphics rendering and compositing engine that underpins the visual display system in macOS.
-
C.
Quartz at Work
Quartz at Work is a business-focused publication from Quartz that offers analysis, insights, and commentary on the modern workplace, management, and careers.
-
D.
Pearlstine
Pearlstine is a surname most notably associated with American journalist and media executive Norman Pearlstine.
-
E.
The Crystal
The Crystal is a landmark sustainable building and exhibition center in London known for its distinctive glass architecture and focus on urban sustainability and green technologies.
- 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: Qwartz Triple: [Villeneuve-la-Garenne, hasShoppingCentre, Qwartz]
Generated description
Qwartz is a large modern shopping mall and leisure complex located in Villeneuve-la-Garenne, in the northern suburbs of Paris, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qwartz Target entity description: Qwartz is a large modern shopping mall and leisure complex located in Villeneuve-la-Garenne, in the northern suburbs of Paris, France.
-
A.
Quartz
Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
-
B.
Quartz
Quartz is Apple's 2D graphics rendering and compositing engine that underpins the visual display system in macOS.
-
C.
Quartz at Work
Quartz at Work is a business-focused publication from Quartz that offers analysis, insights, and commentary on the modern workplace, management, and careers.
-
D.
Pearlstine
Pearlstine is a surname most notably associated with American journalist and media executive Norman Pearlstine.
-
E.
The Crystal
The Crystal is a landmark sustainable building and exhibition center in London known for its distinctive glass architecture and focus on urban sustainability and green technologies.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b2e4a88190a81504eee77e2298 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344e9c66c81909163cea6aa9276e0 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.