Triple
T2865501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pas-de-Calais |
E63427
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lens
Lens is a commune in northern France known for its mining heritage and the Louvre-Lens art museum.
|
E305231
|
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: Lens | Statement: [Pas-de-Calais, contains, Lens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lens Context triple: [Pas-de-Calais, contains, Lens]
-
A.
Lenses
Lenses are Snapchat’s interactive augmented reality filters that overlay animations and effects onto users’ faces and surroundings in real time.
-
B.
Barlow lenses
Barlow lenses are optical accessories used in telescopes to effectively increase focal length and magnification by diverging the light path before it reaches the eyepiece.
-
C.
Fresnel lens
A Fresnel lens is a compact, lightweight lens design composed of concentric rings that allows lighthouses and other optical systems to project powerful, focused beams of light over long distances.
-
D.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
E.
Dioptrique
Dioptrique is a scientific treatise by René Descartes that lays out his pioneering theories on light and optics, including the law of refraction.
- 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: Lens Triple: [Pas-de-Calais, contains, Lens]
Generated description
Lens is a commune in northern France known for its mining heritage and the Louvre-Lens art museum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lens Target entity description: Lens is a commune in northern France known for its mining heritage and the Louvre-Lens art museum.
-
A.
Lenses
Lenses are Snapchat’s interactive augmented reality filters that overlay animations and effects onto users’ faces and surroundings in real time.
-
B.
Barlow lenses
Barlow lenses are optical accessories used in telescopes to effectively increase focal length and magnification by diverging the light path before it reaches the eyepiece.
-
C.
Fresnel lens
A Fresnel lens is a compact, lightweight lens design composed of concentric rings that allows lighthouses and other optical systems to project powerful, focused beams of light over long distances.
-
D.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
E.
Dioptrique
Dioptrique is a scientific treatise by René Descartes that lays out his pioneering theories on light and optics, including the law of refraction.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb9e64c819087b1a47caeb174d5 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01da458ec8190ae07237d7e23b302 |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b01e45f6e481908665e0961c3a3778 |
completed | March 10, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0224832108190be252c0245d588d2 |
completed | March 10, 2026, 1:53 p.m. |
Created at: March 6, 2026, 10:02 p.m.