Triple

T29318508

Position	Surface form	Disambiguated ID	Type / Status
Subject	St. Andrew’s Church, Dublin	`E743444`	entity
Predicate	primaryEntranceFrom	`P106736`	FINISHED
Object	Suffolk Street Suffolk Street is a central street in Dublin, Ireland, known for its proximity to major landmarks, shops, and historic sites in the city center.	`E2288842`	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: Suffolk Street | Statement: [St. Andrew’s Church, Dublin, primaryEntranceFrom, Suffolk Street]

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: Suffolk Street
Triple: [St. Andrew’s Church, Dublin, primaryEntranceFrom, Suffolk Street]

Generated description

Suffolk Street is a central street in Dublin, Ireland, known for its proximity to major landmarks, shops, and historic sites in the city center.

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

Target predicate: primaryEntranceFrom
Context triple: [St. Andrew’s Church, Dublin, primaryEntranceFrom, Suffolk Street]

A. isMainEntrance
Indicates that an entrance serves as the primary or principal access point to a place or building.
B. mainEntranceLocation chosen
Indicates the location where the primary or main entrance of an entity is situated.
C. isSecondaryEntranceOf
Indicates that one entrance serves as an additional or subordinate access point to a primary entrance of the same place or structure.
D. hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
E. primaryPortalOfEntry
Indicates the main route or location through which something (such as a substance, pathogen, or agent) first enters a host or system.
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_69f0912502c8819087d9e8398ee991a8`	completed	April 28, 2026, 10:51 a.m.
NER	Named-entity recognition	`batch_6a00dc330b148190aaae2ac6a5327960`	completed	May 10, 2026, 7:27 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a5ae31738588190aba2168cb762a961`	completed	July 18, 2026, 2:21 a.m.
NEDg	Description generation	`batch_6a5ae37615088190822b3e234f3e5906`	completed	July 18, 2026, 2:22 a.m.
NED2	Entity disambiguation (via description)	`batch_6a5ae3cd97ec81909d1b24601c441769`	completed	July 18, 2026, 2:24 a.m.
PD	Predicate disambiguation	`batch_6a00d9d2904881909dafbfe7b9e5ad81`	completed	May 10, 2026, 7:17 p.m.

Created at: April 28, 2026, 1:21 p.m.