Triple

T4936785
Position Surface form Disambiguated ID Type / Status
Subject Mabalako E110829 entity
Predicate hasContactTracingActivities P60497 FINISHED
Object Ebola contact tracing 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: Ebola contact tracing | Statement: [Mabalako, hasContactTracingActivities, Ebola contact tracing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasContactTracingActivities
Context triple: [Mabalako, hasContactTracingActivities, Ebola contact tracing]
  • A. hasActivityIn
    Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
  • B. hasSignificantActivity
    Indicates that an entity exhibits a notable level or intensity of activity, performance, or operation relative to a defined threshold or context.
  • C. hasOnlineActivity
    Indicates that an entity engages in or possesses some form of activity or presence on the internet or digital platforms.
  • D. hasContemporaryActivity
    Indicates that two activities occur during the same time period or overlap in time.
  • E. hasPopularActivity
    Indicates that an entity is associated with an activity that is widely favored, frequently engaged in, or well-liked by many people.
  • F. None of above. chosen

Provenance (4 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7085b1dc819099408f6503f0210f completed March 20, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69bd6c389b9881908ad7fb1c5393c1b1 completed March 20, 2026, 3:48 p.m.
PDg Predicate description generation batch_69bd6ff731188190a9903602122d4ff9 completed March 20, 2026, 4:04 p.m.
Created at: March 20, 2026, 1:30 p.m.