Triple

T28952278

Position	Surface form	Disambiguated ID	Type / Status
Subject	Eastchester	`E731048`	entity
Predicate	nearbySubwayTerminal	`P26735`	FINISHED
Object	Eastchester–Dyre Avenue station Eastchester–Dyre Avenue station is the northern terminal of the New York City Subway’s 5 train in the Eastchester neighborhood of the Bronx.	`E1843229`	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: Eastchester–Dyre Avenue station | Statement: [Eastchester, nearbySubwayTerminal, Eastchester–Dyre Avenue 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: Eastchester–Dyre Avenue station
Triple: [Eastchester, nearbySubwayTerminal, Eastchester–Dyre Avenue station]

Generated description

Eastchester–Dyre Avenue station is the northern terminal of the New York City Subway’s 5 train in the Eastchester neighborhood of the Bronx.

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

Target predicate: nearbySubwayTerminal
Context triple: [Eastchester, nearbySubwayTerminal, Eastchester–Dyre Avenue station]

A. subwayServiceAtNearbyStation
Indicates that there is subway service available at a station located near the referenced place or entity.
B. nearestSuburbanRailwayStation
Indicates the relationship where a given place is associated with the suburban railway station that is geographically closest to it.
C. nearestUndergroundStation chosen
Indicates the relationship where a specific underground (subway/metro) station is the closest one in distance to a given location or entity.
D. nearbyTerminus
Indicates that one terminus (end point or final stop) is located close to another terminus in space.
E. nearestRailwayTerminus
Indicates that one location is the closest railway terminus to another specified place.
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_69f043eb9bcc819091ac7b07aecb6475`	completed	April 28, 2026, 5:21 a.m.
NER	Named-entity recognition	`batch_69fb6fdc7eb081908ab8475efb38c430`	completed	May 6, 2026, 4:44 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a24ec4db24081909c5277ca576ffb50`	completed	June 7, 2026, 3:58 a.m.
NEDg	Description generation	`batch_6a24f066b990819095925ff855a3370e`	completed	June 7, 2026, 4:15 a.m.
NED2	Entity disambiguation (via description)	`batch_6a24f4d232f08190808f832d0536033c`	completed	June 7, 2026, 4:34 a.m.
PD	Predicate disambiguation	`batch_69fb5a986e588190b7a10892bd2ff44c`	completed	May 6, 2026, 3:13 p.m.

Created at: April 28, 2026, 8:44 a.m.