Triple
T18976861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italdesign |
E464317
|
entity |
| Predicate | designedForManufacturer |
P9494
|
FINISHED |
| Object |
Seat
SEAT is a Spanish automobile manufacturer known for producing a range of affordable, stylish cars within the Volkswagen Group.
|
E1352804
|
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: Seat | Statement: [Italdesign, designedForManufacturer, Seat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seat Context triple: [Italdesign, designedForManufacturer, Seat]
-
A.
Window Seat
"Window Seat" is a neo-soul single by Erykah Badu, known for its mellow, introspective vibe and its controversial, symbolism-rich music video.
-
B.
Love Seat
"Love Seat" is an EP by the indie pop band The Softies, showcasing their gentle, melancholic melodies and intimate lo-fi sound.
-
C.
Sitton
Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
-
D.
Chair X
Chair X is one of the numbered academic seats of the Royal Spanish Academy, occupied by a distinguished scholar responsible for contributing to the institution’s work on the Spanish language.
-
E.
Chair A
Chair A is one of the numbered academic seats of the Royal Spanish Academy, traditionally assigned to a distinguished scholar of the Spanish language.
- 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: Seat Triple: [Italdesign, designedForManufacturer, Seat]
Generated description
SEAT is a Spanish automobile manufacturer known for producing a range of affordable, stylish cars within the Volkswagen Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seat Target entity description: SEAT is a Spanish automobile manufacturer known for producing a range of affordable, stylish cars within the Volkswagen Group.
-
A.
Window Seat
"Window Seat" is a neo-soul single by Erykah Badu, known for its mellow, introspective vibe and its controversial, symbolism-rich music video.
-
B.
Love Seat
"Love Seat" is an EP by the indie pop band The Softies, showcasing their gentle, melancholic melodies and intimate lo-fi sound.
-
C.
Sitton
Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
-
D.
Chair X
Chair X is one of the numbered academic seats of the Royal Spanish Academy, occupied by a distinguished scholar responsible for contributing to the institution’s work on the Spanish language.
-
E.
Chair A
Chair A is one of the numbered academic seats of the Royal Spanish Academy, traditionally assigned to a distinguished scholar of the Spanish language.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d620bba48190a300dba9733592b0 |
completed | April 20, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05ad3f8c0c8190aad9693b3a9360db |
completed | May 14, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a05af056a0c8190969f3b7a371aa453 |
completed | May 14, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05afb1c02481909018f47be226f486 |
completed | May 14, 2026, 11:19 a.m. |
Created at: April 10, 2026, noon