Triple

T28279011
Position Surface form Disambiguated ID Type / Status
Subject Banu Riyah E713087 entity
Predicate partOf P40 FINISHED
Object Hilalian tribes
The Hilalian tribes were a large confederation of Arab Bedouin groups from the Arabian Peninsula whose 11th-century migration into North Africa profoundly reshaped the region’s demographic, linguistic, and political landscape.
 E1811088 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: Hilalian tribes | Statement: [Banu Riyah, partOf, Hilalian tribes]
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: Hilalian tribes
Triple: [Banu Riyah, partOf, Hilalian tribes]
Generated description
The Hilalian tribes were a large confederation of Arab Bedouin groups from the Arabian Peninsula whose 11th-century migration into North Africa profoundly reshaped the region’s demographic, linguistic, and political landscape.

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_69efb52275788190ae5181ccebef18ce completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6444debc88190a2799fedc421013a completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a160724234c8190a0918c2d29de0e23 completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a161461afac81909c4f6f35530f73de completed May 26, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_6a161524fd648190b932ebe251413aa3 completed May 26, 2026, 9:48 p.m.
Created at: April 27, 2026, 11:21 p.m.