Triple

T14944311
Position Surface form Disambiguated ID Type / Status
Subject Qibla district E372613 entity
Predicate adjacentTo P224 FINISHED
Object Dasman district E372612 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: Dasman district | Statement: [Qibla district, adjacentTo, Dasman district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dasman district
Context triple: [Qibla district, adjacentTo, Dasman district]
  • A. Ras al-Ain district
    Ras al-Ain district is a central area of Amman, Jordan, known for its cultural institutions, public spaces, and historical significance.
  • B. Luwan District
    Luwan District was a former central district of Shanghai, China, known for its historic architecture, commercial streets, and cultural landmarks on the Puxi side of the city.
  • C. Qudsaya District
    Qudsaya District is an administrative district in southwestern Syria, located within the Rif Dimashq Governorate and encompassing suburban and rural areas near Damascus.
  • D. Mansour District
    Mansour District is a prominent urban district in western Baghdad known for its residential neighborhoods, commercial centers, and diplomatic facilities.
  • E. Sharq district chosen
    Sharq district is a prominent commercial and financial area in Kuwait City known for its modern skyscrapers, shopping malls, and waterfront developments.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d554808190a0a87d9f5e225d31 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:39 a.m.