Triple

T596240
Position Surface form Disambiguated ID Type / Status
Subject Dubai Tram E17388 entity
Predicate connectsWith P37 FINISHED
Object Dubai Metro Red Line E17040 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: Dubai Metro Red Line | Statement: [Dubai Tram, connectsWith, Dubai Metro Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubai Metro Red Line
Context triple: [Dubai Tram, connectsWith, Dubai Metro Red Line]
  • A. Dubai Metro chosen
    The Dubai Metro is a fully automated, driverless urban rail network that serves as a major public transportation backbone across key areas of Dubai.
  • B. 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.
  • C. Dubai Bus
    Dubai Bus is the city’s public bus network, providing extensive, scheduled urban and intercity transportation across Dubai and surrounding areas.
  • D. Tehran Metro
    Tehran Metro is the rapid transit system serving Iran’s capital, providing extensive urban and suburban rail transport across the Tehran metropolitan area.
  • E. Palm Jumeirah
    Palm Jumeirah is an artificial, palm tree–shaped island in Dubai known for its luxury resorts, upscale residences, and waterfront leisure attractions.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd3e5e08190be95cb2009aad42d completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c766508190ae39b6e254a07bc3 completed March 2, 2026, 4:57 a.m.
Created at: March 1, 2026, 7:33 p.m.