Triple

T11481856
Position Surface form Disambiguated ID Type / Status
Subject ERP E272169 entity
Predicate roleInFMLN P99524 FINISHED
Object key faction 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: key faction | Statement: [ERP, roleInFMLN, key faction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInFMLN
Context triple: [ERP, roleInFMLN, key faction]
  • A. hasUNRegionalRole
    Indicates that an entity holds a specific official function, capacity, or responsibility within a United Nations regional body or framework.
  • B. roleInBolivia
    Indicates that an entity holds or has held an official role, position, or function within the country of Bolivia.
  • C. typeOfDiplomaticRole
    Indicates the specific kind or category of diplomatic position or function that an entity holds in relation to another.
  • D. hasInternationalOrganizationRole
    Indicates that an entity holds or has held a specific role, position, or function within an international organization.
  • E. roleInCONCACAF
    Indicates that one entity holds a specific role, position, or function within the CONCACAF organization or its activities.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1d86b88190b180f6b0d0a27029 completed April 10, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d8279925e4819089210611c0d8e61a completed April 9, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:36 p.m.