Triple

T9543653
Position Surface form Disambiguated ID Type / Status
Subject Cuban polyclinics E230224 entity
Predicate planningBasis P89710 FINISHED
Object geographically defined catchment areas 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: geographically defined catchment areas | Statement: [Cuban polyclinics, planningBasis, geographically defined catchment areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: planningBasis
Context triple: [Cuban polyclinics, planningBasis, geographically defined catchment areas]
  • A. planning
    Indicates that an entity is engaged in organizing or devising a future action, event, or course of behavior involving another entity or entities.
  • B. plannedUnder
    Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another entity.
  • C. plannedVia
    Indicates that something is arranged, organized, or scheduled by means of a particular method, process, or intermediary.
  • D. plannedWith
    Indicates that an entity created or arranged a plan in collaboration or coordination with another entity.
  • E. planned
    Indicates that an entity has intentionally arranged or scheduled another entity or event to occur in the future.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ebd4148190b71b134d7545fe35 completed April 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69ccd58bd21881908b860e3ee469af13 completed April 1, 2026, 8:21 a.m.
PDg Predicate description generation batch_69ccd93e90048190a2b0d7c5c195ba98 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:01 p.m.