Triple
T3738602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIA GT Championship |
E79644
|
entity |
| Predicate | notableManufacturer |
P51141
|
FINISHED |
| Object |
Saleen
Saleen is an American high-performance sports car manufacturer best known for producing powerful, limited-production supercars and racing vehicles.
|
E384124
|
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: Saleen | Statement: [FIA GT Championship, notableManufacturer, Saleen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saleen Context triple: [FIA GT Championship, notableManufacturer, Saleen]
-
A.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
B.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
-
C.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
D.
Brewster
Brewster is an English occupational surname historically associated with brewing ale or beer.
-
E.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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: Saleen Triple: [FIA GT Championship, notableManufacturer, Saleen]
Generated description
Saleen is an American high-performance sports car manufacturer best known for producing powerful, limited-production supercars and racing vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saleen Target entity description: Saleen is an American high-performance sports car manufacturer best known for producing powerful, limited-production supercars and racing vehicles.
-
A.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
B.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
-
C.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
D.
Brewster
Brewster is an English occupational surname historically associated with brewing ale or beer.
-
E.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3e9248819098d481fe29e1c628 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db20bdfc81909cd27278ff5d9716 |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4dbeb2a2881908bfa05613fafc53c |
completed | March 14, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dc65c88c8190b1215fed2451d45f |
completed | March 14, 2026, 3:56 a.m. |
Created at: March 8, 2026, 3:34 p.m.