Triple
T17253346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai i10 |
E418812
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Toyota Aygo |
E419523
|
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: Toyota Aygo | Statement: [Hyundai i10, competitor, Toyota Aygo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyota Aygo Context triple: [Hyundai i10, competitor, Toyota Aygo]
-
A.
Toyota Aygo
chosen
The Toyota Aygo is a compact city car produced by Toyota, known for its small size, urban-friendly design, and shared development with PSA Peugeot Citroën models.
-
B.
Renault Twingo
The Renault Twingo is a popular city car introduced in the early 1990s, known for its compact size, distinctive styling, and practical urban-focused design.
-
C.
Peugeot 107
The Peugeot 107 is a compact city car produced by the French manufacturer Peugeot, known for its small size, fuel efficiency, and urban-friendly design.
-
D.
Nissan Micra
The Nissan Micra is a long-running subcompact hatchback car known for its small size, fuel efficiency, and popularity in urban markets worldwide.
-
E.
Toyota Yaris
The Toyota Yaris is a popular subcompact car known for its reliability, fuel efficiency, and strong reputation in global small-car markets.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6a1b648190a8bb2deb67bbdfdc |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170fb89248190ae431ce51dfeaffd |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.