Triple
T16180921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moto2 |
E392679
|
entity |
| Predicate | frameManufacturers |
P4022
|
FINISHED |
| Object |
NTS
NTS is a motorcycle chassis manufacturer known for producing racing frames used in the Moto2 World Championship.
|
E1199018
|
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: NTS | Statement: [Moto2, frameManufacturers, NTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NTS Context triple: [Moto2, frameManufacturers, NTS]
-
A.
NTS
NTS is a comprehensive statistical publication that compiles and presents data on the U.S. transportation system across all major modes.
-
B.
NTS
NTS is the commonly used abbreviation for the National Trust for Scotland, a conservation charity dedicated to protecting and promoting Scotland’s natural and cultural heritage.
-
C.
NTA
NTA is an Indian government agency responsible for conducting major entrance examinations for higher education institutions across the country.
-
D.
NTA
NTA is the acronym for the National Treatment Agency for Substance Misuse, a former UK body responsible for improving drug treatment services and outcomes.
-
E.
NTI
NTI is a specialized automotive and motorsports technical training school associated with NASCAR, offering programs in automotive technology, high-performance engines, and related fields.
- 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: NTS Triple: [Moto2, frameManufacturers, NTS]
Generated description
NTS is a motorcycle chassis manufacturer known for producing racing frames used in the Moto2 World Championship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NTS Target entity description: NTS is a motorcycle chassis manufacturer known for producing racing frames used in the Moto2 World Championship.
-
A.
NTS
NTS is the commonly used abbreviation for the National Trust for Scotland, a conservation charity dedicated to protecting and promoting Scotland’s natural and cultural heritage.
-
B.
NTS
NTS is a comprehensive statistical publication that compiles and presents data on the U.S. transportation system across all major modes.
-
C.
NTA
NTA is an Indian government agency responsible for conducting major entrance examinations for higher education institutions across the country.
-
D.
NTA
NTA is the acronym for the National Treatment Agency for Substance Misuse, a former UK body responsible for improving drug treatment services and outcomes.
-
E.
NTI
NTI is a specialized automotive and motorsports technical training school associated with NASCAR, offering programs in automotive technology, high-performance engines, and related fields.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22709b0d88190b40787e0520d02ab |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a000170f87481909fbfb2104e6b0403 |
completed | May 10, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0001d5018481908e84a33e4a797f95 |
completed | May 10, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:02 a.m.