Triple

T1367558
Position Surface form Disambiguated ID Type / Status
Subject Umm Habiba E30037 entity
Predicate tribe P1915 FINISHED
Object Quraysh E27183 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: Quraysh | Statement: [Umm Habiba, tribe, Quraysh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quraysh
Context triple: [Umm Habiba, tribe, Quraysh]
  • A. Quraysh chosen
    Quraysh was the powerful Arab tribe of Mecca that controlled the Kaaba and into which the Prophet Muhammad was born.
  • B. Banu Ghatafan
    Banu Ghatafan was a powerful tribal confederation of central Arabia that played a significant role in early Islamic-era conflicts and alliances.
  • C. Banu Asad
    Banu Asad is an Arab clan of the Quraysh tribe in Mecca historically known as the clan of Khadijah bint Khuwaylid, the first wife of the Prophet Muhammad.
  • D. Banu Hashim
    Banu Hashim is a prominent clan of the Quraysh tribe in Mecca, best known as the family of the Prophet Muhammad.
  • E. Banu Mustaliq
    Banu Mustaliq was an Arab tribe of the larger Khuza‘a confederation known from early Islamic history, particularly through its association with Juwayriya bint al-Harith and its encounter with the Prophet Muhammad.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d33d2081908008494b5f56bf56 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e63b3f88190b34fb0407e1f03d5 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:57 p.m.