Triple

T25589355

Position	Surface form	Disambiguated ID	Type / Status
Subject	Banu Qaynuqa	`E641477`	entity
Predicate	regionBeforeIslam	`P73479`	FINISHED
Object	Yathrib oasis Yathrib oasis was the fertile, pre-Islamic settlement that later became the city of Medina, serving as a key agricultural and trading center in the Arabian Peninsula.	`E1693127`	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: Yathrib oasis | Statement: [Banu Qaynuqa, regionBeforeIslam, Yathrib oasis]

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: Yathrib oasis
Triple: [Banu Qaynuqa, regionBeforeIslam, Yathrib oasis]

Generated description

Yathrib oasis was the fertile, pre-Islamic settlement that later became the city of Medina, serving as a key agricultural and trading center in the Arabian Peninsula.

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

Target predicate: regionBeforeIslam
Context triple: [Banu Qaynuqa, regionBeforeIslam, Yathrib oasis]

A. preIslamicOccupation
Indicates the role, job, or position a person held before the advent or adoption of Islam in their context.
B. preIslamicPresence chosen
Indicates the existence or activity of someone or something in a place or context during the period before the advent of Islam.
C. historicalCaliphate
Indicates that an entity functioned as a caliphate (an Islamic state led by a caliph) during a specific historical period.
D. pre-IslamicFunction
Indicates that something served a particular role, purpose, or function during the pre-Islamic period.
E. preIslamicReligion
Indicates that an entity practiced, adhered to, or was associated with a religious belief system that existed before the advent or spread of Islam.
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_69e75dc42b588190a98b58e0df359674`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f6a28c7c148190bfc980aad9f678ca`	completed	May 3, 2026, 1:19 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10cbdf98d08190a70a77dbe8ea2430`	completed	May 22, 2026, 9:34 p.m.
NEDg	Description generation	`batch_6a10cc64dde08190b02c25b583f4c264`	completed	May 22, 2026, 9:36 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10ccf464b481909d0b12c1e24c5206`	completed	May 22, 2026, 9:39 p.m.
PD	Predicate disambiguation	`batch_69f69fe1e3c88190830bb2e9f407357e`	completed	May 3, 2026, 1:07 a.m.

Created at: April 21, 2026, 4:18 p.m.