Triple

T35963779

Position	Surface form	Disambiguated ID	Type / Status
Subject	Oyama Station	`E1040078`	entity
Predicate	adjacentStationOnTobuTojoLine	`P192179`	FINISHED
Object	Kita-Ikebukuro Station Kita-Ikebukuro Station is a railway station in Tokyo, Japan, served by the Tobu Tojo Line.	`E2293049`	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: Kita-Ikebukuro Station | Statement: [Oyama Station, adjacentStationOnTobuTojoLine, Kita-Ikebukuro 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: Kita-Ikebukuro Station
Triple: [Oyama Station, adjacentStationOnTobuTojoLine, Kita-Ikebukuro Station]

Generated description

Kita-Ikebukuro Station is a railway station in Tokyo, Japan, served by the Tobu Tojo Line.

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

Target predicate: adjacentStationOnTobuTojoLine
Context triple: [Oyama Station, adjacentStationOnTobuTojoLine, Kita-Ikebukuro Station]

A. adjacentStationOnTokyuToyokoLine
Indicates that one station is directly next to another station along the Tokyu Toyoko railway line.
B. adjacentStationOnTōzaiLine
Indicates that one station is directly next to another station along the Tōzai railway line, with no other stations in between.
C. adjacentStationOnJRTōzaiLine
Indicates that one station is directly next to another station along the JR Tōzai Line, with no other stations in between.
D. adjacentStationOnTanimachiLine
Indicates that one station is directly next to another station along the Tanimachi subway line.
E. adjacentStationOnToeiOedoLine
Indicates that one station is directly next to another station along the Toei Ōedo subway line, with no other stations in between.
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_69f76e26b21081909fd9ffb3aff6c77a`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69fcf825ca7081909d06b0df33eb33f9`	completed	May 7, 2026, 8:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a7a5c6ff6c08190951e02708ae4ee46`	completed	Aug. 10, 2026, 11:19 p.m.
NEDg	Description generation	`batch_6a7a5d07d04481909fe3cd43a0b8a5a6`	completed	Aug. 10, 2026, 11:21 p.m.
NED2	Entity disambiguation (via description)	`batch_6a7a5da15cf08190961d2fd165470dc7`	completed	Aug. 10, 2026, 11:24 p.m.
PD	Predicate disambiguation	`batch_69fcf42160f0819096812a8bf590875e`	completed	May 7, 2026, 8:20 p.m.
PDg	Predicate description generation	`batch_69fcf82405c88190a19cecf8e9cc272d`	completed	May 7, 2026, 8:37 p.m.

Created at: May 3, 2026, 4:07 p.m.