Triple
T4255426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crans-Montana |
E95961
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Lens |
E305231
|
NE FINISHED |
How this triple was built (2 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: [Crans-Montana, formedByMergerOf, Lens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lens Context triple: [Crans-Montana, formedByMergerOf, Lens]
-
A.
Lens
chosen
Lens is a commune in northern France known for its mining heritage and the Louvre-Lens art museum.
-
B.
Lenses
Lenses are Snapchat’s interactive augmented reality filters that overlay animations and effects onto users’ faces and surroundings in real time.
-
C.
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.
-
D.
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.
-
E.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88a68f081909e5bae5b0414f534 |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.