Triple

T34166707

Position	Surface form	Disambiguated ID	Type / Status
Subject	Bedford Avenue station (L train)	`E876431`	entity
Predicate	adjacentStationToWest	`P58181`	FINISHED
Object	First Avenue station (L train) First Avenue station is a New York City Subway station in Manhattan on the L train, serving the eastern end of 14th Street near Stuyvesant Town and the East Village.	`E2084319`	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: First Avenue station (L train) | Statement: [Bedford Avenue station (L train), adjacentStationToWest, First Avenue station (L train)]

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: First Avenue station (L train)
Triple: [Bedford Avenue station (L train), adjacentStationToWest, First Avenue station (L train)]

Generated description

First Avenue station is a New York City Subway station in Manhattan on the L train, serving the eastern end of 14th Street near Stuyvesant Town and the East Village.

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

Target predicate: adjacentStationToWest
Context triple: [Bedford Avenue station (L train), adjacentStationToWest, First Avenue station (L train)]

A. adjacentStationWest chosen
Indicates that one station is immediately to the west of another station in a spatial or network layout.
B. adjacentStationSouth
Indicates that one station is directly to the south of another station, with no other station in between.
C. adjacentStationTowardsSouth
Indicates that one station is directly next to another in the southward direction along a route or line.
D. adjacentStationTowards
Indicates that one station is directly next to another station in a specified direction along a route or line.
E. adjacentStationNorth
Indicates that one station is directly adjacent to another station to its north.
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_69f349ad97ac8190bf1f17417c970e64`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69fb3425666081908916fcbf3b5dd907`	completed	May 6, 2026, 12:29 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36c1d7070c8190bd08e16196c67256`	completed	June 20, 2026, 4:37 p.m.
NEDg	Description generation	`batch_6a36c265a4588190b415159def7d4690`	completed	June 20, 2026, 4:40 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36c4cc187081908cd56a998ab5c90d`	completed	June 20, 2026, 4:50 p.m.
PD	Predicate disambiguation	`batch_69fb2f5f3164819099429c2cc3d24e01`	completed	May 6, 2026, 12:09 p.m.

Created at: May 1, 2026, 1:54 a.m.