Triple

T18802252
Position Surface form Disambiguated ID Type / Status
Subject Trucial States E459784 entity
Predicate hasMember P10 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: [Trucial States, hasMember, Abu Dhabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abu Dhabi
Context triple: [Trucial States, hasMember, 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a02400208190b1d84e2b0640df08 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.