Triple

T37771858

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kokura	`E941569`	entity
Predicate	monorailOperator	`P189021`	FINISHED
Object	Kitakyushu Urban Monorail Co., Ltd. Kitakyushu Urban Monorail Co., Ltd. is the company that operates the urban monorail system serving the city of Kitakyushu in Fukuoka Prefecture, Japan.	`E2242924`	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: Kitakyushu Urban Monorail Co., Ltd. | Statement: [Kokura, monorailOperator, Kitakyushu Urban Monorail Co., Ltd.]

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: Kitakyushu Urban Monorail Co., Ltd.
Triple: [Kokura, monorailOperator, Kitakyushu Urban Monorail Co., Ltd.]

Generated description

Kitakyushu Urban Monorail Co., Ltd. is the company that operates the urban monorail system serving the city of Kitakyushu in Fukuoka Prefecture, Japan.

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

Target predicate: monorailOperator
Context triple: [Kokura, monorailOperator, Kitakyushu Urban Monorail Co., Ltd.]

A. monorailStation
Indicates that an entity functions as a station or stop specifically for a monorail transit system.
B. monorailUse
Indicates that one entity makes use of, travels on, or is transported by a monorail system in relation to another entity or context.
C. trainOperator
Indicates that one entity operates, manages, or runs train services for another entity or within a specific rail system.
D. cableCarOperator
Indicates that one entity operates, manages, or runs a cable car service for another entity or location.
E. tramOperator
Indicates that one entity operates, manages, or runs tram services for another entity or area.
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_69f76ee4431881908f87e8892a9f39f3`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fbaf48ba148190a8bdfd6846ad0540`	completed	May 6, 2026, 9:14 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40f17d08b88190a28b50b9e30c7ca2`	completed	June 28, 2026, 10:03 a.m.
NEDg	Description generation	`batch_6a40f22972e48190a673737cf741e5aa`	completed	June 28, 2026, 10:06 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40f2aa79808190a3952e3cade199a1`	completed	June 28, 2026, 10:08 a.m.
PD	Predicate disambiguation	`batch_69fbadf632ec8190b14991c971258307`	completed	May 6, 2026, 9:09 p.m.
PDg	Predicate description generation	`batch_69fbaeef9c488190babb546b962b4fb6`	completed	May 6, 2026, 9:13 p.m.

Created at: May 3, 2026, 4:19 p.m.