Triple

T29510904

Position	Surface form	Disambiguated ID	Type / Status
Subject	Railroad Museum of New England	`E748646`	entity
Predicate	locatedAtStation	`P105426`	FINISHED
Object	Thomaston station Thomaston station is a historic railroad station in Thomaston, Connecticut, now best known as the home base of the Railroad Museum of New England and its heritage train operations.	`E1872691`	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: Thomaston station | Statement: [Railroad Museum of New England, locatedAtStation, Thomaston 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: Thomaston station
Triple: [Railroad Museum of New England, locatedAtStation, Thomaston station]

Generated description

Thomaston station is a historic railroad station in Thomaston, Connecticut, now best known as the home base of the Railroad Museum of New England and its heritage train operations.

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

Target predicate: locatedAtStation
Context triple: [Railroad Museum of New England, locatedAtStation, Thomaston station]

A. hasStationAt chosen
Indicates that an entity maintains or operates a station located at a specified place.
B. connectsAtStation
Indicates that one transportation service or route links to another at a specific station, allowing passengers to transfer between them there.
C. accessibleFromStation
Indicates that a location or facility can be reached directly or conveniently starting from a given station.
D. isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
E. collectedAtStation
Indicates that something was gathered, received, or picked up at a particular station location.
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_69f0bd461c208190bec20bbf24e02cc5`	completed	April 28, 2026, 1:59 p.m.
NER	Named-entity recognition	`batch_6a00383e868c819098fd17e25fcbdb04`	completed	May 10, 2026, 7:48 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a260c1d26808190bc20421b57b908f5`	completed	June 8, 2026, 12:26 a.m.
NEDg	Description generation	`batch_6a261065aefc8190b2945fba730d44ba`	completed	June 8, 2026, 12:44 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2614a384988190939b488b13114459`	completed	June 8, 2026, 1:02 a.m.
PD	Predicate disambiguation	`batch_6a0037cc59688190b7b9da939a413db3`	completed	May 10, 2026, 7:46 a.m.

Created at: April 28, 2026, 4:32 p.m.