Triple

T38324022
Position Surface form Disambiguated ID Type / Status
Subject historical region of Arran E1036731 entity
Predicate ruledBy P3022 FINISHED
Object Arab Caliphate
The Arab Caliphate was a vast early Islamic empire that emerged in the 7th century and expanded rapidly across the Middle East, North Africa, and parts of Europe and Asia, uniting diverse regions under a single religious and political authority.
E36757 NE FINISHED

How this triple was built (2 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: Arab Caliphate | Statement: [historical region of Arran, ruledBy, Arab Caliphate]
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: Arab Caliphate
Triple: [historical region of Arran, ruledBy, Arab Caliphate]
Generated description
The Arab Caliphate was a vast early Islamic empire that emerged in the 7th century and expanded rapidly across the Middle East, North Africa, and parts of Europe and Asia, uniting diverse regions under a single religious and political authority.

Provenance (5 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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc68d53088190b198f239d811fe67 completed May 7, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b292cf508190ab0cafce35c140e9 completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b3790d5081908ad1d6d6a23ce35e completed June 28, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_6a41b4890e6c8190a5fa5c3e04d868f9 completed June 28, 2026, 11:55 p.m.
Created at: May 3, 2026, 4:30 p.m.