Triple

T21674646
Position Surface form Disambiguated ID Type / Status
Subject Umar II E534935 entity
Predicate burialPlace P196 FINISHED
Object Dayr Siman area NE NERFINISHED

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: Dayr Siman area | Statement: [Umar II, burialPlace, Dayr Siman area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayr Siman area
Context triple: [Umar II, burialPlace, Dayr Siman area]
  • A. Jabal Al-Weibdeh area
    Jabal Al-Weibdeh area is one of Amman’s oldest and most culturally vibrant neighborhoods, known for its historic architecture, art galleries, cafés, and lively community atmosphere.
  • B. Batan al-Hawa area
    Batan al-Hawa area is a densely populated Palestinian neighborhood within Silwan in East Jerusalem, known for its historic homes and ongoing disputes over land and housing.
  • C. Wadi Bayhan area
    The Wadi Bayhan area is an ancient valley region in present-day Yemen that served as a key center of the Qatabanian kingdom and an important hub of South Arabian civilization and trade.
  • D. Dayr Siman chosen
    Dayr Siman is a historic Syrian village and monastic site near Aleppo, known for its early Christian ruins and association with the Umayyad caliph Umar II.
  • E. Al Dafna area
    Al Dafna area is a prominent modern business and commercial district in Doha, Qatar, known for its high-rise skyline along the waterfront.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0ed5388190b8f1932fb3f11c6a completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:41 p.m.