Triple

T38694698
Position Surface form Disambiguated ID Type / Status
Subject Spanish Guinea E949964 entity
Predicate mainlandRegion P121381 FINISHED
Object Río Muni 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: Río Muni | Statement: [Spanish Guinea, mainlandRegion, Río Muni]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainlandRegion
Context triple: [Spanish Guinea, mainlandRegion, Río Muni]
  • A. isMainlandTerritoryOf
    Indicates that a territory constitutes the primary continental landmass belonging to a particular country or sovereign entity.
  • B. specialAdministrativeRegion
    Indicates that one region holds a distinct administrative status with a high degree of autonomy under the sovereignty of a larger state.
  • C. associatedMainlandArea chosen
    Indicates a relationship where a non-mainland region (such as an island or territory) is linked to the specific mainland area with which it is geographically, administratively, or politically connected.
  • D. autonomousPrefectureInChina
    Indicates that one administrative region is an autonomous prefecture located within the territorial jurisdiction of China.
  • E. numberOfMainlandTerritories
    Indicates the count of distinct mainland territorial units associated with a given entity.
  • 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_69f76f0124408190bb39c3040734846b completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: May 3, 2026, 4:33 p.m.