Triple
T16859416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai Tucson |
E409868
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Hyundai Santa Fe |
E414252
|
NE FINISHED |
How this triple was built (2 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: Hyundai Santa Fe | Statement: [Hyundai Tucson, relatedTo, Hyundai Santa Fe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyundai Santa Fe Context triple: [Hyundai Tucson, relatedTo, Hyundai Santa Fe]
-
A.
Hyundai Santa Fe
chosen
The Hyundai Santa Fe is a popular mid-size crossover SUV known for its practicality, comfort, and value-oriented features.
-
B.
Hyundai Tucson
The Hyundai Tucson is a compact crossover SUV known for its practicality, modern styling, and strong value in the global automotive market.
-
C.
Kia Sorento
The Kia Sorento is a mid-size crossover SUV known for its family-friendly interior, available three-row seating, and a balance of comfort, practicality, and value.
-
D.
Kia Sportage
The Kia Sportage is a compact crossover SUV known for its modern styling, practicality, and value-oriented features in the family SUV segment.
-
E.
Hyundai Sonata
The Hyundai Sonata is a popular mid-size family sedan known for its value, modern styling, and extensive features.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b501f72881909f7600311705fb33 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a6f2c48190874839f78f943fdb |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.