Triple

T33009109

Position	Surface form	Disambiguated ID	Type / Status
Subject	Legacy 500	`E844590`	entity
Predicate	airframerDesignation	`P175908`	FINISHED
Object	EMB‑550 EMB‑550 is the Embraer business jet type designation for the Legacy 500, a midsize, fly-by-wire corporate aircraft.	`E2032486`	NE FINISHED

How this triple was built (3 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: EMB‑550 | Statement: [Legacy 500, airframerDesignation, EMB‑550]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: EMB‑550
Triple: [Legacy 500, airframerDesignation, EMB‑550]

Generated description

EMB‑550 is the Embraer business jet type designation for the Legacy 500, a midsize, fly-by-wire corporate aircraft.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: airframerDesignation
Context triple: [Legacy 500, airframerDesignation, EMB‑550]

A. airlineFleetDesignation
Indicates the specific fleet or operational group within an airline to which an aircraft or service is assigned.
B. airframeNumber
Indicates the unique identifying number assigned to a specific aircraft’s structural frame within a fleet or system.
C. flightDesignation
Indicates the specific code or identifier assigned to a particular flight within an airline’s schedule or operations.
D. aircraftTypeDesignationSystem
Indicates the classification or naming system used to designate the type of an aircraft.
E. airframer
Indicates a relationship where a company designs, manufactures, or assembles aircraft as its primary aerospace activity.
F. None of above. chosen

Provenance (7 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_69f3494e59f08190b9127c693e5c7e8f`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69f6d74b20a48190900dda1014cc13a8`	completed	May 3, 2026, 5:04 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34dad1501c8190866c1acea4ef8a36`	completed	June 19, 2026, 5:59 a.m.
NEDg	Description generation	`batch_6a34db6329708190a5dfa86c7b717094`	completed	June 19, 2026, 6:02 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34dc60dfcc819089a4abdaebeb4dd6`	completed	June 19, 2026, 6:06 a.m.
PD	Predicate disambiguation	`batch_69f6d26f27dc8190ae426a3e1573933e`	completed	May 3, 2026, 4:43 a.m.
PDg	Predicate description generation	`batch_69f6d749e7f081909c8196898c4191ad`	completed	May 3, 2026, 5:04 a.m.

Created at: May 1, 2026, 1:23 a.m.