Triple

T25031845

Position	Surface form	Disambiguated ID	Type / Status
Subject	St. Lawrence Avenue	`E626865`	entity
Predicate	hasEgressTo	`P845`	FINISHED
Object	St. Lawrence Avenue St. Lawrence Avenue is a street whose name commonly refers to various local roads or thoroughfares, often found in North American cities and towns.	`E626865`	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: St. Lawrence Avenue | Statement: [St. Lawrence Avenue, hasEgressTo, St. Lawrence Avenue]

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: St. Lawrence Avenue
Triple: [St. Lawrence Avenue, hasEgressTo, St. Lawrence Avenue]

Generated description

St. Lawrence Avenue is a street whose name commonly refers to various local roads or thoroughfares, often found in North American cities and towns.

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

Target predicate: hasEgressTo
Context triple: [St. Lawrence Avenue, hasEgressTo, St. Lawrence Avenue]

A. hasNumberOfExits
Indicates the relationship that specifies how many exits are associated with a given entity.
B. hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
C. hasExitFor
Indicates that something provides or includes a specific exit intended for a particular destination, purpose, or user.
D. hasFareGateConnectionTo
Indicates that there is a direct passage or connection between two areas that is controlled or mediated by fare gates.
E. connectsTo chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
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_69e2ff2a2c088190be513727ee8bfe78`	completed	April 18, 2026, 3:48 a.m.
NER	Named-entity recognition	`batch_69f44f6fcab081909470c94a5f519d79`	completed	May 1, 2026, 7 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1067b1c4608190bc713bd23b78c9b2`	completed	May 22, 2026, 2:26 p.m.
NEDg	Description generation	`batch_6a1068d5ff248190b9efb77366147c26`	completed	May 22, 2026, 2:31 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1069d0ba8c81908b38818567784552`	completed	May 22, 2026, 2:36 p.m.
PD	Predicate disambiguation	`batch_69f442c0c2e88190acd7f170f10ccef6`	completed	May 1, 2026, 6:05 a.m.

Created at: April 18, 2026, 6:07 a.m.