Triple

T609900
Position Surface form Disambiguated ID Type / Status
Subject Northwestern University E12074 entity
Predicate hasCampusIn P4623 FINISHED
Object Doha, Qatar E12693 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: Doha, Qatar | Statement: [Northwestern University, hasCampusIn, Doha, Qatar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doha, Qatar
Context triple: [Northwestern University, hasCampusIn, Doha, Qatar]
  • A. Doha chosen
    Doha is the rapidly developing capital and largest city of Qatar, known for its modern skyline, cultural institutions, and role as a major political and economic center in the Arab world.
  • B. Al Rayyan
    Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
  • C. Abu Dhabi
    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.
  • D. Al Wakrah
    Al Wakrah is a coastal city in southeastern Qatar known for its historic fishing and pearling heritage and as the site of the modern Al Janoub Stadium.
  • E. 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.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df68f2c8190a0ee9da4692b2a62 completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67eeff434819090fb550b6bf07d86 completed March 3, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:35 p.m.