Triple
T9355879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salt Lake 2002 mascots set |
E225135
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Glacier Lynx
Glacier Lynx is one of the official animal mascots created for the 2002 Winter Olympics in Salt Lake City.
|
E793447
|
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: Glacier Lynx | Statement: [Salt Lake 2002 mascots set, hasPart, Glacier Lynx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glacier Lynx Context triple: [Salt Lake 2002 mascots set, hasPart, Glacier Lynx]
-
A.
Lynx
Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
-
B.
Lynx
Lynx is a faint, northern constellation introduced by Johannes Hevelius, located between Ursa Major and Auriga in the night sky.
-
C.
Karluk
Karluk refers to a historical branch of the Turkic peoples and their language group, influential in Central Asia during the early medieval period.
-
D.
Snow Leopard
Snow Leopard is a major release of Apple's Mac OS X operating system focused on performance, efficiency, and refinement rather than new features.
-
E.
Glaciar Grey
Glaciar Grey is a large Patagonian glacier located in Chile’s Torres del Paine National Park, known for its striking blue ice and dramatic surrounding landscapes.
- 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: Glacier Lynx Triple: [Salt Lake 2002 mascots set, hasPart, Glacier Lynx]
Generated description
Glacier Lynx is one of the official animal mascots created for the 2002 Winter Olympics in Salt Lake City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glacier Lynx Target entity description: Glacier Lynx is one of the official animal mascots created for the 2002 Winter Olympics in Salt Lake City.
-
A.
Lynx
Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
-
B.
Lynx
Lynx is a faint, northern constellation introduced by Johannes Hevelius, located between Ursa Major and Auriga in the night sky.
-
C.
Karluk
Karluk refers to a historical branch of the Turkic peoples and their language group, influential in Central Asia during the early medieval period.
-
D.
Snow Leopard
Snow Leopard is a major release of Apple's Mac OS X operating system focused on performance, efficiency, and refinement rather than new features.
-
E.
Glaciar Grey
Glaciar Grey is a large Patagonian glacier located in Chile’s Torres del Paine National Park, known for its striking blue ice and dramatic surrounding landscapes.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4fee9d4c8190a7d121c9487ccca2 |
completed | April 1, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e45b752c8190b7dd8981ba5be433 |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e5760c0c8190b01a36772cea3058 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e616d350819086465c7e491b6e62 |
completed | April 4, 2026, 10:21 a.m. |
Created at: March 30, 2026, 7:42 p.m.