Triple

T676343
Position Surface form Disambiguated ID Type / Status
Subject Silver Line (Washington Metro) E13084 entity
Predicate lineDesignation P5539 FINISHED
Object SV E9640 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: SV | Statement: [Silver Line (Washington Metro), lineDesignation, SV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SV
Context triple: [Silver Line (Washington Metro), lineDesignation, SV]
  • A. SV chosen
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • C. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • D. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • E. SP
    SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04b2ae881908a5c23453bef8572 completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a1b6588190b0c9215afb3a9200 completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.