Triple
T12999110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiorano GT Challenge |
E322119
|
entity |
| Predicate | model |
P2006
|
FINISHED |
| Object |
XT 300
XT 300 is a high-performance racing car model developed for the Fiorano GT Challenge series.
|
E1015128
|
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: XT 300 | Statement: [Fiorano GT Challenge, model, XT 300]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XT 300 Context triple: [Fiorano GT Challenge, model, XT 300]
-
A.
TX-30
TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.
-
B.
Honda 1300
The Honda 1300 was a compact car produced by Honda in the early 1970s, notable for its air-cooled engine and role in establishing Honda’s presence in the passenger car market.
-
C.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
-
D.
Mercury KX
Mercury KX is a modern classical and experimental music label known for releasing innovative, genre-blurring works by contemporary composers and artists.
-
E.
XR-7
XR-7 is a higher-end, performance-oriented trim package of the Mercury Cougar that added luxury and sporty features beyond the base model.
- 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: XT 300 Triple: [Fiorano GT Challenge, model, XT 300]
Generated description
XT 300 is a high-performance racing car model developed for the Fiorano GT Challenge series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XT 300 Target entity description: XT 300 is a high-performance racing car model developed for the Fiorano GT Challenge series.
-
A.
TX-30
TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.
-
B.
Honda 1300
The Honda 1300 was a compact car produced by Honda in the early 1970s, notable for its air-cooled engine and role in establishing Honda’s presence in the passenger car market.
-
C.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
-
D.
Mercury KX
Mercury KX is a modern classical and experimental music label known for releasing innovative, genre-blurring works by contemporary composers and artists.
-
E.
XR-7
XR-7 is a higher-end, performance-oriented trim package of the Mercury Cougar that added luxury and sporty features beyond the base model.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7b268c8190b8bb855e9de23c3b |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c101ea60819098e4d5fb3a9e803a |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c277e6248190870b3bf9869716a7 |
completed | May 3, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c38da72881909ca5cc4a2a2ca1cf |
completed | May 3, 2026, 3:39 a.m. |
Created at: April 9, 2026, 8:46 p.m.