Triple

T26057867
Position Surface form Disambiguated ID Type / Status
Subject Banu Mustaliq campaign E657173 entity
Predicate tribeInvolved P85706 FINISHED
Object Banu Khuzaʿa confederation
The Banu Khuzaʿa confederation was an Arab tribal alliance of the Hijaz region that played a notable role in early Islamic-era conflicts and alliances around Mecca and its surroundings.
E1709296 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: Banu Khuzaʿa confederation | Statement: [Banu Mustaliq campaign, tribeInvolved, Banu Khuzaʿa confederation]
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: Banu Khuzaʿa confederation
Triple: [Banu Mustaliq campaign, tribeInvolved, Banu Khuzaʿa confederation]
Generated description
The Banu Khuzaʿa confederation was an Arab tribal alliance of the Hijaz region that played a notable role in early Islamic-era conflicts and alliances around Mecca and its surroundings.

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_69ee5bbd788481909e22bd7153d0c037 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6068fa9708190a061497990b64cd4 completed May 2, 2026, 2:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b2372488190a0a87e762e5000cb completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111f06ca1c8190a5e50097f6b910fd completed May 23, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_6a111fb122748190b9487873be677c5c completed May 23, 2026, 3:32 a.m.
Created at: April 26, 2026, 7:13 p.m.