Triple

T25077754

Position	Surface form	Disambiguated ID	Type / Status
Subject	Gulf, Mobile and Ohio Railroad	`E628097`	entity
Predicate	usedMotivePowerFromManufacturer	`P138023`	FINISHED
Object	Alco Alco (American Locomotive Company) was a major American manufacturer of steam and diesel locomotives that supplied motive power to numerous railroads in the 20th century.	`E1664443`	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: Alco | Statement: [Gulf, Mobile and Ohio Railroad, usedMotivePowerFromManufacturer, Alco]

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: Alco
Triple: [Gulf, Mobile and Ohio Railroad, usedMotivePowerFromManufacturer, Alco]

Generated description

Alco (American Locomotive Company) was a major American manufacturer of steam and diesel locomotives that supplied motive power to numerous railroads in the 20th century.

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

Target predicate: usedMotivePowerFromManufacturer
Context triple: [Gulf, Mobile and Ohio Railroad, usedMotivePowerFromManufacturer, Alco]

A. hasMotivePowerType
Indicates that an entity (such as a vehicle or machine) operates using a specified type of motive power (e.g., electric, diesel, steam).
B. enginePower
Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
C. shaftPowerType
Indicates the type or category of power transmitted through a shaft in a mechanical or propulsion system.
D. vehiclePower
Indicates the amount or type of power a vehicle can produce or is rated to deliver.
E. usedManufacturer chosen
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
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_69e2ff2e73f881909992bf3eda5c25cb`	completed	April 18, 2026, 3:49 a.m.
NER	Named-entity recognition	`batch_69f48b9b687881908fd87a2f5fa0b1e7`	completed	May 1, 2026, 11:16 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1048e1900c8190a6697997fcb25336`	completed	May 22, 2026, 12:15 p.m.
NEDg	Description generation	`batch_6a104c1f2e448190b0ee1a8c0bca7520`	completed	May 22, 2026, 12:29 p.m.
NED2	Entity disambiguation (via description)	`batch_6a104d107b088190aad51efff7bcef1e`	completed	May 22, 2026, 12:33 p.m.
PD	Predicate disambiguation	`batch_69f48060597c8190a4414e4e4fcb1fec`	completed	May 1, 2026, 10:28 a.m.

Created at: April 18, 2026, 6:21 a.m.