Triple
T3892867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeMS |
E88100
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
GeMS
GeMS is a multi-conjugate adaptive optics system used on large telescopes to correct atmospheric distortion and produce sharper astronomical images.
|
E396511
|
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: GeMS | Statement: [GeMS, acronym, GeMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GeMS Context triple: [GeMS, acronym, GeMS]
-
A.
GEM
GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
-
B.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
C.
GAESA
GAESA is a powerful Cuban military-owned business conglomerate that dominates key sectors of the country's economy, including tourism, retail, and real estate.
-
D.
Unisphere
The Unisphere is a giant stainless-steel globe sculpture in Flushing Meadows–Corona Park, Queens, best known as an enduring landmark celebrating global interdependence and space-age optimism.
-
E.
Météores
Météores is one of the scientific essays by René Descartes, accompanying his Discours de la méthode and focusing on the study of meteorological and atmospheric phenomena.
- 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: GeMS Triple: [GeMS, acronym, GeMS]
Generated description
GeMS is a multi-conjugate adaptive optics system used on large telescopes to correct atmospheric distortion and produce sharper astronomical images.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GeMS Target entity description: GeMS is a multi-conjugate adaptive optics system used on large telescopes to correct atmospheric distortion and produce sharper astronomical images.
-
A.
GEM
GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
-
B.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
C.
GAESA
GAESA is a powerful Cuban military-owned business conglomerate that dominates key sectors of the country's economy, including tourism, retail, and real estate.
-
D.
Unisphere
The Unisphere is a giant stainless-steel globe sculpture in Flushing Meadows–Corona Park, Queens, best known as an enduring landmark celebrating global interdependence and space-age optimism.
-
E.
Météores
Météores is one of the scientific essays by René Descartes, accompanying his Discours de la méthode and focusing on the study of meteorological and atmospheric phenomena.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecce860c8190b16eca2e14f6544f |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c96ff648190b03807547930d51d |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b51d14269881909b75083e3928163a |
completed | March 14, 2026, 8:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51d73ecd48190881c15ff6e0daea0 |
completed | March 14, 2026, 8:33 a.m. |
Created at: March 9, 2026, 3:21 p.m.