Triple

T34504937
Position Surface form Disambiguated ID Type / Status
Subject Raxaul E885855 entity
Predicate hasPetroleumTransport P175212 FINISHED
Object yes 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: yes | Statement: [Raxaul, hasPetroleumTransport, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPetroleumTransport
Context triple: [Raxaul, hasPetroleumTransport, yes]
  • A. hasOilTerminal
    Indicates that one entity possesses, hosts, or contains an oil terminal used for storing or transferring oil.
  • B. hasPetrochemicalPipelines chosen
    Indicates that one entity possesses, controls, or is associated with petrochemical pipelines connecting it to other locations or facilities.
  • C. hasTransporters
    Indicates that one entity possesses, provides, or is equipped with one or more means of transportation for another entity or purpose.
  • D. hasTransportationSystem
    Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
  • E. hasGroundTransportation
    Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
  • 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_69f349cc0220819081f154c6964f4dc2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe066d62b48190867df334039be786 completed May 8, 2026, 3:51 p.m.
PD Predicate disambiguation batch_69fe03afde3c8190a5b9b0778d19eb1a completed May 8, 2026, 3:39 p.m.
Created at: May 1, 2026, 2:01 a.m.