Triple
T13397980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gtech |
E319748
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Gtech AirRam |
E319748
|
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: Gtech AirRam | Statement: [Gtech, brand, Gtech AirRam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gtech AirRam Context triple: [Gtech, brand, Gtech AirRam]
-
A.
Gtech
chosen
Gtech is a British home and garden appliance company best known for its cordless vacuum cleaners and other innovative household products.
-
B.
Gorilla Tek
Gorilla Tek is a hip-hop and R&B music producer known for his work with Southern rap artists and contributions to the Miami bass and broader Southern hip-hop sound.
-
C.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
D.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
-
E.
Efficeon
Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d9e7348190844e11dd6cbd13b0 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73071c0b88190bca3b15ea11c7491 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.