Triple

T33351867

Position	Surface form	Disambiguated ID	Type / Status
Subject	Our Lady of Luján	`E853963`	entity
Predicate	imageKeptAt	`P176532`	FINISHED
Object	Basilica of Our Lady of Luján The Basilica of Our Lady of Luján is a major neo-Gothic Roman Catholic pilgrimage church in Luján, Argentina, dedicated to the country’s patron saint and attracting millions of devotees each year.	`E2049357`	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: Basilica of Our Lady of Luján | Statement: [Our Lady of Luján, imageKeptAt, Basilica of Our Lady of Luján]

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: Basilica of Our Lady of Luján
Triple: [Our Lady of Luján, imageKeptAt, Basilica of Our Lady of Luján]

Generated description

The Basilica of Our Lady of Luján is a major neo-Gothic Roman Catholic pilgrimage church in Luján, Argentina, dedicated to the country’s patron saint and attracting millions of devotees each year.

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

Target predicate: imageKeptAt
Context triple: [Our Lady of Luján, imageKeptAt, Basilica of Our Lady of Luján]

A. imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
B. imageFile
Indicates that an entity is associated with, stored as, or represented by a particular image file.
C. imageArchive
Indicates a relationship where one entity serves as a stored collection or repository of images associated with another entity.
D. imageOf
Indicates that one entity is a visual representation or depiction of another entity.
E. imageOrigin
Indicates the original source or provenance from which an image was created, captured, or obtained.
F. None of above. chosen

Provenance (7 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_69f3496acbc8819099fd0305ecc42080`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69f6e3156ea48190b604e414665ef351`	completed	May 3, 2026, 5:54 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3576e073888190b7e7684ed77ade44`	completed	June 19, 2026, 5:05 p.m.
NEDg	Description generation	`batch_6a357794a3ec819087b1b478acf6c91e`	completed	June 19, 2026, 5:08 p.m.
NED2	Entity disambiguation (via description)	`batch_6a35788be1508190b1794f59d4c78502`	completed	June 19, 2026, 5:12 p.m.
PD	Predicate disambiguation	`batch_69f6de0b9ba48190887c9eb5d06a2e94`	completed	May 3, 2026, 5:32 a.m.
PDg	Predicate description generation	`batch_69f6e312d7fc819094dec41810f2585d`	completed	May 3, 2026, 5:54 a.m.

Created at: May 1, 2026, 1:34 a.m.