Triple

T13160921
Position Surface form Disambiguated ID Type / Status
Subject Addis Ababa–Djibouti Railway E312722 entity
Predicate openedForFreight P990 FINISHED
Object 2018 LITERAL 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: 2018 | Statement: [Addis Ababa–Djibouti Railway, openedForFreight, 2018]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedForFreight
Context triple: [Addis Ababa–Djibouti Railway, openedForFreight, 2018]
  • A. openedForThroughService
    Indicates that an entity has been made accessible or available specifically for use via a through-service connection or route, rather than as a standalone endpoint.
  • B. openedForUse chosen
    Indicates that something has been made accessible and available for its intended operation or use.
  • C. openedForUseBy
    Indicates that something has been made available or activated so that a particular entity can use it.
  • D. openedForUseAs
    Indicates that something was made available and began functioning in the capacity or role specified by another entity or purpose.
  • E. openedForCurrentUse
    Indicates that an entity has been opened and is currently available for its intended use or operation.
  • F. None of above.

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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bbd1d088190b7c69f37fc6eeb64 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:12 p.m.