Triple

T21440165
Position Surface form Disambiguated ID Type / Status
Subject Litas E528917 entity
Predicate ISO4217Code P189 FINISHED
Object LTL NE NERFINISHED

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: LTL | Statement: [Litas, ISO4217Code, LTL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTL
Context triple: [Litas, ISO4217Code, LTL]
  • A. LTL
    LTL (Linear Temporal Logic) is a formalism used in computer science and logic to specify and reason about the temporal ordering of events along linear time, particularly in the verification of reactive and concurrent systems.
  • B. LTL
    LTL is the National Rail station code for Littleborough railway station in Greater Manchester, England.
  • C. LTL chosen
    LTL is the former official currency code for the Lithuanian litas, which was replaced by the euro in 2015.
  • D. TLT
    TLT is the IATA airport code for the small public airport serving the remote community of Tuluksak in western Alaska.
  • E. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b700237c8190bbcb4bedc4242719 completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.