Triple

T21084579
Position Surface form Disambiguated ID Type / Status
Subject Adnan Pachachi E519452 entity
Predicate workLocation P7 FINISHED
Object Abu Dhabi 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: Abu Dhabi | Statement: [Adnan Pachachi, workLocation, Abu Dhabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abu Dhabi
Context triple: [Adnan Pachachi, workLocation, Abu Dhabi]
  • A. Abu Dhabi chosen
    Abu Dhabi is the capital and second-most populous city of the United Arab Emirates, known for its vast oil wealth, modern skyline, and role as a major political and economic center in the Arab world.
  • B. Dubai
    Dubai is a major global city in the United Arab Emirates known for its rapid development, luxury tourism, and status as a regional business and financial hub.
  • C. Dubail
    Dubail is a French surname most notably borne by General Auguste Dubail, a senior French Army officer during World War I.
  • D. Al Ain
    Al Ain is a historic oasis city in the Emirate of Abu Dhabi in the United Arab Emirates, known for its date palm plantations, forts, and role as a cultural and agricultural center.
  • E. Sharjah
    Sharjah is a major cultural and economic center in the United Arab Emirates, known for its rich heritage, museums, and role as a hub of Islamic arts and education.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e709498fc081908d92a93e8678c140 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:49 p.m.