Triple
T11082483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honeywell TPE331-10 |
E262036
|
entity |
| Predicate | familyOrigin |
P194
|
FINISHED |
| Object | Garrett AiResearch TPE331 |
E787798
|
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: Garrett AiResearch TPE331 | Statement: [Honeywell TPE331-10, familyOrigin, Garrett AiResearch TPE331]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garrett AiResearch TPE331 Context triple: [Honeywell TPE331-10, familyOrigin, Garrett AiResearch TPE331]
-
A.
Garrett AiResearch
chosen
Garrett AiResearch was an American aerospace company best known for designing and manufacturing turboprop and turbojet engines and related aircraft systems.
-
B.
Garrett TFE731-2
The Garrett TFE731-2 is a small, geared turbofan jet engine widely used on light business jets for its efficiency and reliability.
-
C.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
D.
Ameca
Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
-
E.
Apollo DN300
The Apollo DN300 was an early 1980s Apollo Computer workstation model known for its role in advancing networked, domain-based engineering and technical computing environments.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799985650819089b2c0f35a212414 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e789d7248190a40de0bdda539f45 |
completed | April 18, 2026, 8:20 p.m. |
Created at: April 8, 2026, 9:27 p.m.