Triple

T13382253
Position Surface form Disambiguated ID Type / Status
Subject Mall of Qatar E319344 entity
Predicate metroLine P848 FINISHED
Object Doha Metro Green Line E1036859 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 Metro Green Line | Statement: [Mall of Qatar, metroLine, Doha Metro Green Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doha Metro Green Line
Context triple: [Mall of Qatar, metroLine, Doha Metro Green Line]
  • A. Doha Metro Green Line chosen
    The Doha Metro Green Line is one of the main rapid transit lines in Doha, Qatar, serving key areas including Education City and several central and western districts of the city.
  • B. Riyadh Metro
    Riyadh Metro is a major rapid transit system in Riyadh, Saudi Arabia, designed to modernize urban transportation and reduce congestion across the city.
  • C. 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.
  • D. Al Wakra Metro Station
    Al Wakra Metro Station is a modern rapid transit station in the city of Al Wakrah, Qatar, serving as part of the Doha Metro network.
  • E. Doha Expressway projects
    The Doha Expressway projects are major infrastructure developments in Qatar aimed at expanding and modernizing the road network to improve traffic flow and connectivity in and around Doha.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce694788190881d1feac5b75720 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306c18d481908ebc8f802e474479 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.