Triple
T10293675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koenigsegg Agera R |
E241427
|
entity |
| Predicate | bodyMaterial |
P618
|
FINISHED |
| Object | Kevlar |
E192835
|
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: Kevlar | Statement: [Koenigsegg Agera R, bodyMaterial, Kevlar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevlar Context triple: [Koenigsegg Agera R, bodyMaterial, Kevlar]
-
A.
Kevlar
chosen
Kevlar is a high-strength, lightweight synthetic fiber widely used in bulletproof vests, protective gear, and industrial applications for its exceptional durability and resistance to impact and heat.
-
B.
Nylon
Nylon is a family of synthetic polymers widely used as strong, lightweight fibers and plastics in textiles, engineering components, and consumer products.
-
C.
Tyvek
Tyvek is a durable, lightweight, synthetic material widely used for protective garments, packaging, and weather-resistant building wraps.
-
D.
Nomex
Nomex is a high-performance, flame-resistant aramid fiber widely used in protective clothing and industrial applications for its heat and fire resistance.
-
E.
Teflon
Teflon is a synthetic fluoropolymer best known for its nonstick, heat-resistant coating used on cookware and in various industrial applications.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1c180481909ca9983e14cbb931 |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:42 a.m.