Triple

T11111872
Position Surface form Disambiguated ID Type / Status
Subject Siemens Inspiro E262774 entity
Predicate operator P179 FINISHED
Object Riyadh Metro E837214 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: Riyadh Metro | Statement: [Siemens Inspiro, operator, Riyadh Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riyadh Metro
Context triple: [Siemens Inspiro, operator, Riyadh Metro]
  • A. Riyadh Metro chosen
    Riyadh Metro is a major rapid transit system in Riyadh, Saudi Arabia, designed to modernize urban transportation and reduce congestion across the city.
  • B. Dubai Metro
    The Dubai Metro is a fully automated, driverless urban rail network that serves as a major public transportation backbone across key areas of Dubai.
  • C. Riyadh–Qurayyat passenger line
    The Riyadh–Qurayyat passenger line is a major Saudi railway route connecting the capital Riyadh with the northern city of Qurayyat, providing long-distance passenger transport across central and northern Saudi Arabia.
  • D. Dubai Tram
    Dubai Tram is a modern light rail transit system serving key residential and commercial areas along Dubai’s Al Sufouh and Marina districts.
  • E. Al Boraq high-speed rail
    Al Boraq high-speed rail is Morocco’s high-speed train network, notable as the first of its kind in Africa and connecting major cities such as Tangier and Casablanca.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa42ec4819085a2e802e00d9f02 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.