Triple

T832396
Position Surface form Disambiguated ID Type / Status
Subject Dubai Bus E17993 entity
Predicate operatorAbbreviation P43 FINISHED
Object RTA E74356 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: RTA | Statement: [Dubai Bus, operatorAbbreviation, RTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTA
Context triple: [Dubai Bus, operatorAbbreviation, RTA]
  • A. RTA
    RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
  • B. RTG
    RTG (Radioisotope Thermoelectric Generator) is a long-lived power system that converts heat from the natural decay of radioactive material into electricity, commonly used on deep-space missions like Voyager 2.
  • C. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • D. RTA Dubai chosen
    RTA Dubai is the government authority responsible for planning, operating, and managing public transportation and roads in Dubai, United Arab Emirates.
  • E. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb647988190950e1790bcfa60a5 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9991488190808adb29d3ad6273 completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.