Triple

T33483456

Position	Surface form	Disambiguated ID	Type / Status
Subject	Berlin–Munich corridor	`E857542`	entity
Predicate	hasRailAxis	`P191914`	FINISHED
Object	Berlin–Munich high-speed railway The Berlin–Munich high-speed railway is a major German high-speed rail line that dramatically reduces travel time between the capital Berlin and the Bavarian city of Munich, forming a key north–south backbone of the country’s rail network.	`E2053419`	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: Berlin–Munich high-speed railway | Statement: [Berlin–Munich corridor, hasRailAxis, Berlin–Munich high-speed railway]

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: Berlin–Munich high-speed railway
Triple: [Berlin–Munich corridor, hasRailAxis, Berlin–Munich high-speed railway]

Generated description

The Berlin–Munich high-speed railway is a major German high-speed rail line that dramatically reduces travel time between the capital Berlin and the Bavarian city of Munich, forming a key north–south backbone of the country’s rail network.

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

Target predicate: hasRailAxis
Context triple: [Berlin–Munich corridor, hasRailAxis, Berlin–Munich high-speed railway]

A. hasRail
Indicates that something is equipped with, includes, or is connected to a rail or rail system.
B. hasRailConfiguration
Indicates that an entity is associated with, or characterized by, a particular arrangement or setup of rails.
C. hasRailMode
Indicates that an entity is associated with or supports transportation via rail-based modes (such as trains, trams, or subways).
D. hasAccessoryRail
Indicates that an object is equipped with or includes an additional rail or mounting interface used to attach accessories.
E. hasRailSymbol
Indicates that an entity is associated with or represented by a specific rail-related symbol or icon.
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_69f3497547608190a1a0f2365fb713ee`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69fcef654d588190b29ecc76678d1aa0`	completed	May 7, 2026, 8 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3595b644f0819080864275f9490df5`	completed	June 19, 2026, 7:17 p.m.
NEDg	Description generation	`batch_6a3599aae2e48190ac4967233e980b41`	completed	June 19, 2026, 7:34 p.m.
NED2	Entity disambiguation (via description)	`batch_6a359a3dd81081909104433137c7791f`	completed	June 19, 2026, 7:36 p.m.
PD	Predicate disambiguation	`batch_69fcecdb97f48190b382b7d13be92dc0`	completed	May 7, 2026, 7:49 p.m.
PDg	Predicate description generation	`batch_69fcef636dfc819085cf91323f2e4edd`	completed	May 7, 2026, 8 p.m.

Created at: May 1, 2026, 1:38 a.m.