Triple

T33406041

Position	Surface form	Disambiguated ID	Type / Status
Subject	Special Vehicle Team	`E855439`	entity
Predicate	vehicleMakeServed	`P145772`	FINISHED
Object	Ford Ford is a major American automaker known for pioneering mass automobile production and producing a wide range of cars, trucks, and performance vehicles.	`E1465791`	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: Ford | Statement: [Special Vehicle Team, vehicleMakeServed, Ford]

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: Ford
Triple: [Special Vehicle Team, vehicleMakeServed, Ford]

Generated description

Ford is a major American automaker known for pioneering mass automobile production and producing a wide range of cars, trucks, and performance vehicles.

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

Target predicate: vehicleMakeServed
Context triple: [Special Vehicle Team, vehicleMakeServed, Ford]

A. vehicleFor
Indicates that one entity serves as the means of transportation or conveyance for another entity.
B. vehicleFunction
Indicates the functional role or primary purpose that a vehicle is designed or used to perform.
C. vehicleClassServed chosen
Indicates the class or type of vehicle that a service, facility, or operation is designed to accommodate or serve.
D. vehicleName
Indicates the specific name or designation assigned to a vehicle.
E. producedVehicle
Indicates that one entity manufactured or created a particular vehicle.
F. None of above.

Provenance (6 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_69f3496f04a08190804e56ac5098b8e4`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69f6f8164698819090c1b471f1caa4c6`	completed	May 3, 2026, 7:24 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a35959c7b4c8190a612413a36a78fae`	completed	June 19, 2026, 7:16 p.m.
NEDg	Description generation	`batch_6a35966fe39481908df28167e7d613ad`	completed	June 19, 2026, 7:20 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3597a9451c8190ae497a25ac6513be`	completed	June 19, 2026, 7:25 p.m.
PD	Predicate disambiguation	`batch_69f6f6619404819084662aef1238261c`	completed	May 3, 2026, 7:16 a.m.

Created at: May 1, 2026, 1:36 a.m.