Triple

T26181669

Position	Surface form	Disambiguated ID	Type / Status
Subject	Naguib Mahfouz’s Miramar universe	`E654700`	entity
Predicate	centralSetting	`P4751`	FINISHED
Object	Pension Miramar Pension Miramar is the seaside Alexandria boarding house in Naguib Mahfouz’s novel "Miramar," where a diverse group of characters converge and reveal the social and political tensions of 1960s Egypt.	`E1709874`	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: Pension Miramar | Statement: [Naguib Mahfouz’s Miramar universe, centralSetting, Pension Miramar]

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: Pension Miramar
Triple: [Naguib Mahfouz’s Miramar universe, centralSetting, Pension Miramar]

Generated description

Pension Miramar is the seaside Alexandria boarding house in Naguib Mahfouz’s novel "Miramar," where a diverse group of characters converge and reveal the social and political tensions of 1960s Egypt.

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

Target predicate: centralSetting
Context triple: [Naguib Mahfouz’s Miramar universe, centralSetting, Pension Miramar]

A. secondarySetting
Indicates that an entity serves as an additional or supporting setting context for another entity, rather than being the primary setting.
B. coversSetting
Indicates that one entity includes or addresses a particular setting or context within its scope.
C. primarySetting
Indicates that one entity serves as the main or central location, context, or environment in which the other entity’s events or activities primarily take place.
D. primarySettingFeature
Indicates that a particular feature is the main or defining characteristic of a setting.
E. centralIn chosen
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
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_69ee5b45873c81909499203612d05d07`	completed	April 26, 2026, 6:36 p.m.
NER	Named-entity recognition	`batch_69f6640168948190811bd5f933a87cf5`	completed	May 2, 2026, 8:52 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a112781e3d88190aef9a8e1b5f741dc`	completed	May 23, 2026, 4:05 a.m.
NEDg	Description generation	`batch_6a112a8d26d081909692e0fdeb070f87`	completed	May 23, 2026, 4:18 a.m.
NED2	Entity disambiguation (via description)	`batch_6a112af6fa808190821831dd3ef24648`	completed	May 23, 2026, 4:20 a.m.
PD	Predicate disambiguation	`batch_69f6633451948190bcc0410602bb4914`	completed	May 2, 2026, 8:48 p.m.

Created at: April 26, 2026, 8:40 p.m.