Triple

T38664696

Position	Surface form	Disambiguated ID	Type / Status
Subject	P40DC	`E940420`	entity
Predicate	designedForSignalingSystems	`P187809`	FINISHED
Object	North American railroad signaling North American railroad signaling is the system of signals, rules, and control technologies used to manage train movements safely and efficiently across rail networks in the United States, Canada, and Mexico.	`E2280212`	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: North American railroad signaling | Statement: [P40DC, designedForSignalingSystems, North American railroad signaling]

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: North American railroad signaling
Triple: [P40DC, designedForSignalingSystems, North American railroad signaling]

Generated description

North American railroad signaling is the system of signals, rules, and control technologies used to manage train movements safely and efficiently across rail networks in the United States, Canada, and Mexico.

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

Target predicate: designedForSignalingSystems
Context triple: [P40DC, designedForSignalingSystems, North American railroad signaling]

A. isUsedInSignallingSystems chosen
Indicates that something functions as a component or mechanism within a system designed to transmit, convey, or process signals.
B. signallingSystem
Indicates that one entity functions as a signalling system used to transmit information or cues to another entity.
C. signalingMode
Indicates the method or mechanism by which one entity communicates or transmits signals to another.
D. usesSignaling
Indicates that one entity communicates or coordinates with another by emitting, transmitting, or interpreting signals.
E. telecommunicationSystem
Indicates a relationship where communication between entities is carried out over a distance using electronic or digital transmission systems.
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_69f76edfde348190bf6529d9f49ecd62`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69ffb82be8148190a1c870d467a28c80`	completed	May 9, 2026, 10:41 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41fd69b2cc8190a2a669467d3c9a25`	completed	June 29, 2026, 5:06 a.m.
NEDg	Description generation	`batch_6a41fe3f00d08190ae597e4266b901ee`	completed	June 29, 2026, 5:10 a.m.
NED2	Entity disambiguation (via description)	`batch_6a41fef909448190bb059bf9b7f7e5c6`	completed	June 29, 2026, 5:13 a.m.
PD	Predicate disambiguation	`batch_69ffb7bbd550819094052e9a0d0ae320`	completed	May 9, 2026, 10:39 p.m.

Created at: May 3, 2026, 4:33 p.m.