Triple

T1458370
Position Surface form Disambiguated ID Type / Status
Subject Saudia E31450 entity
Predicate secondaryHubCity P8522 FINISHED
Object Riyadh E7632 NE FINISHED

How this triple was built (3 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: Riyadh | Statement: [Saudia, secondaryHubCity, Riyadh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riyadh
Context triple: [Saudia, secondaryHubCity, Riyadh]
  • A. Riyadh chosen
    Riyadh is the capital and largest city of Saudi Arabia, serving as a major political, economic, and cultural center in the Arab world.
  • B. Dammam
    Dammam is a major Saudi Arabian city and commercial hub on the eastern coast, serving as a key center for the country’s oil industry and maritime trade.
  • C. Jeddah
    Jeddah is a major Saudi Arabian port city on the Red Sea, known as the gateway to the holy cities of Mecca and Medina and a key commercial and cultural hub in the region.
  • D. Diriyah
    Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
  • E. Dhahran
    Dhahran is a major city in Saudi Arabia’s Eastern Province known for its role as a center of the country’s oil industry and the headquarters of Saudi Aramco.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryHubCity
Context triple: [Saudia, secondaryHubCity, Riyadh]
  • A. secondaryHub chosen
    Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
  • B. secondaryHeadquartersLocation
    Indicates the location where an organization maintains a secondary (non-primary) headquarters.
  • C. primaryCity
    Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
  • D. servesAsFocusCityFor
    Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
  • E. secondStation
    Indicates that one station in a sequence or route is the second station relative to another reference point or ordering.
  • F. None of above.

Provenance (4 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59a462881908e84b27846a6bc04 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d78933c81908359b0010b9e6147 completed March 9, 2026, 5:41 a.m.
PD Predicate disambiguation batch_69a4c47ec5108190b1772237f2e5d90b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.