Triple

T3937280
Position Surface form Disambiguated ID Type / Status
Subject Statue of Nelson Mandela, Parliament Square E90942 entity
Predicate situatedAmong P52646 FINISHED
Object monuments to major political figures 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: monuments to major political figures | Statement: [Statue of Nelson Mandela, Parliament Square, situatedAmong, monuments to major political figures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: situatedAmong
Context triple: [Statue of Nelson Mandela, Parliament Square, situatedAmong, monuments to major political figures]
  • A. situatedNextTo
    Indicates that one entity is located immediately beside another, with no significant separation between them.
  • B. isLocatedOn
    Indicates that one entity exists at or is situated upon the surface or area of another entity.
  • C. partlyLocatedOn
    Indicates that one entity is situated such that only a portion of it lies on or within the spatial extent of another entity.
  • D. locatedInGeographicFeature
    Indicates that something is situated within or on a specific natural geographic feature (such as a mountain, river, valley, or lake).
  • E. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedceab608190934293d432f14476 completed March 9, 2026, 3:57 p.m.
PD Predicate disambiguation batch_69aee7625ad4819097e4e8a168c19274 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeed3260cc8190bf294bdab507b1f9 completed March 9, 2026, 3:54 p.m.
Created at: March 9, 2026, 3:24 p.m.