Triple

T34866166

Position	Surface form	Disambiguated ID	Type / Status
Subject	tumba de Amelia Goyri (La Milagrosa)	`E1005015`	entity
Predicate	tieneOcupante	`P2911`	FINISHED
Object	Amelia Goyri Amelia Goyri was a Cuban woman venerated as "La Milagrosa" whose tomb in Havana’s Colón Cemetery has become a famous site of popular devotion and pilgrimage.	`E2114912`	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: Amelia Goyri | Statement: [tumba de Amelia Goyri (La Milagrosa), tieneOcupante, Amelia Goyri]

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: Amelia Goyri
Triple: [tumba de Amelia Goyri (La Milagrosa), tieneOcupante, Amelia Goyri]

Generated description

Amelia Goyri was a Cuban woman venerated as "La Milagrosa" whose tomb in Havana’s Colón Cemetery has become a famous site of popular devotion and pilgrimage.

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

Target predicate: tieneOcupante
Context triple: [tumba de Amelia Goyri (La Milagrosa), tieneOcupante, Amelia Goyri]

A. occupiedBy chosen
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
B. hasOccupantStatus
Indicates that an entity holds a particular role, status, or condition as an occupant of another entity (such as a place, vehicle, or property).
C. occupiedFrom
Indicates that an entity is in use or inhabited starting from a specified point in time.
D. fieldOfOccupant
Indicates the specific professional or academic field in which an occupant is engaged or associated.
E. intendedOccupant
Indicates that one entity is designated or meant to be the occupant of another entity (such as a space, seat, or dwelling).
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_69f76dbb678081909a247b9b5e1a73ac`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f782f4f10081908f97f6d0d2dbeec7`	completed	May 3, 2026, 5:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a377960d32481908ec5f3b85d1a5425`	completed	June 21, 2026, 5:40 a.m.
NEDg	Description generation	`batch_6a377a02724c8190a2ea67c5b5831aea`	completed	June 21, 2026, 5:43 a.m.
NED2	Entity disambiguation (via description)	`batch_6a377ac60cd88190b1ea9540346df1c9`	completed	June 21, 2026, 5:46 a.m.
PD	Predicate disambiguation	`batch_69f780ff71cc8190a67e71076fbad81a`	completed	May 3, 2026, 5:08 p.m.

Created at: May 3, 2026, 4 p.m.