Triple

T36595333
Position Surface form Disambiguated ID Type / Status
Subject Benguela Railway E902780 entity
Predicate rehabilitationSupportFrom P171838 FINISHED
Object China 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: China | Statement: [Benguela Railway, rehabilitationSupportFrom, China]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rehabilitationSupportFrom
Context triple: [Benguela Railway, rehabilitationSupportFrom, China]
  • A. rehabilitationSupport chosen
    Indicates providing assistance, resources, or services that help an entity recover, restore function, or reintegrate after injury, illness, or adverse conditions.
  • B. hasRehabilitationFocus
    Indicates that an entity is oriented toward or primarily concerned with rehabilitation activities, goals, or outcomes.
  • C. rehabilitationMethod
    Indicates the method, technique, or approach used to carry out a rehabilitation process on an entity.
  • D. rehabilitationProject
    Indicates that an entity is involved in a project aimed at restoring, improving, or returning something to a better or functional condition.
  • E. rehabilitationEvent
    Indicates an event in which an entity undergoes a process of rehabilitation, such as recovery, restoration, or reintegration following damage, illness, or misconduct.
  • 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_69f76e6592e88190bac4eb00a46e9df9 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.