Triple

T16044822

Position	Surface form	Disambiguated ID	Type / Status
Subject	Nagatsuta Station	`E389189`	entity
Predicate	adjacentStationOnDenEnToshiLine	`P121740`	FINISHED
Object	Tsukushino Station Tsukushino Station is a railway station in Machida, Tokyo, served by Tokyu Corporation’s Den-en-toshi Line.	`E2289942`	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: Tsukushino Station | Statement: [Nagatsuta Station, adjacentStationOnDenEnToshiLine, Tsukushino Station]

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: Tsukushino Station
Triple: [Nagatsuta Station, adjacentStationOnDenEnToshiLine, Tsukushino Station]

Generated description

Tsukushino Station is a railway station in Machida, Tokyo, served by Tokyu Corporation’s Den-en-toshi Line.

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

Target predicate: adjacentStationOnDenEnToshiLine
Context triple: [Nagatsuta Station, adjacentStationOnDenEnToshiLine, Tsukushino Station]

A. adjacentStationOnSennichimaeLine
Indicates that one station is directly next to another station along the Sennichimae railway line.
B. adjacentStationOnYamanoteLine
Indicates that one station is directly next to another station along the Yamanote Line, with no other stations in between.
C. adjacentStationOnSaikyoLine
Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
D. adjacentStationOnJRKyotoLine
Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
E. adjacentStationOnMusashinoLine
Indicates that one station is directly next to another station along the Musashino railway line.
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_69d86dae698881908327ef2d67706cb9`	completed	April 10, 2026, 3:25 a.m.
NER	Named-entity recognition	`batch_69e1ff63edb0819092cbb671967bbdcd`	completed	April 17, 2026, 9:37 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a5b816e95cc81909280d4b75e29c7f6`	completed	July 18, 2026, 1:36 p.m.
NEDg	Description generation	`batch_6a5b81bb1194819095bdf97b108ec9cb`	completed	July 18, 2026, 1:38 p.m.
NED2	Entity disambiguation (via description)	`batch_6a5b828870c08190b90ead832ba0835e`	completed	July 18, 2026, 1:41 p.m.
PD	Predicate disambiguation	`batch_69e1826f34c081908005bb736f1c485d`	completed	April 17, 2026, 12:44 a.m.
PDg	Predicate description generation	`batch_69e1ff5cd7e481908a29214139a3de2e`	completed	April 17, 2026, 9:37 a.m.

Created at: April 10, 2026, 4:56 a.m.