Triple

T30294282

Position	Surface form	Disambiguated ID	Type / Status
Subject	Zaynab bint Khuzayma	`E770472`	entity
Predicate	marriedToMuhammadIn	`P28606`	FINISHED
Object	Medina Medina is a historic city in western Saudi Arabia that is revered in Islam as the Prophet Muhammad’s destination during the Hijrah and the site of his mosque and burial.	`E28127`	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: Medina | Statement: [Zaynab bint Khuzayma, marriedToMuhammadIn, Medina]

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: Medina
Triple: [Zaynab bint Khuzayma, marriedToMuhammadIn, Medina]

Generated description

Medina is a historic city in western Saudi Arabia that is revered in Islam as the Prophet Muhammad’s destination during the Hijrah and the site of his mosque and burial.

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

Target predicate: marriedToMuhammadIn
Context triple: [Zaynab bint Khuzayma, marriedToMuhammadIn, Medina]

A. marriageToMuhammadType
Indicates a marital relationship in which the person is (or was) married to Muhammad, specifying that the marriage is to the individual identified as Muhammad.
B. marriedProphetMuhammadAfter
Indicates that the subject entered into marriage with the Prophet Muhammad after a specified point in time or event.
C. marriageToProphetOccurredIn chosen
Indicates that the marriage to the prophet took place in a specified location or context.
D. yearOfMarriageToMuhammad_CommonEra
Indicates the calendar year in the Common Era when an individual married Muhammad.
E. hasWifeMentionedInQuran
Indicates that a person has a wife who is explicitly mentioned in the Quran.
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_69f224875c288190a9b96b975006ec4a`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f7886be6d8819095ec62e4f2cee858`	completed	May 3, 2026, 5:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a277c0e319c81908675f3eba467952d`	completed	June 9, 2026, 2:35 a.m.
NEDg	Description generation	`batch_6a277cefc06881909023e8a019d6395a`	completed	June 9, 2026, 2:39 a.m.
NED2	Entity disambiguation (via description)	`batch_6a277dac3814819086f5f3efc1a79349`	completed	June 9, 2026, 2:42 a.m.
PD	Predicate disambiguation	`batch_69f7841440f48190b4346c08855951d2`	completed	May 3, 2026, 5:21 p.m.

Created at: April 29, 2026, 7:47 p.m.